Difference between revisions of "Time reversal"

(Back propagated wave $\mathscr{U}_{back}$ by the TRM)
 
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{{metamodel|time_reversal}}
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{{metamodelGetDP|time_reversal}}
  
 
== Additional information ==
 
== Additional information ==
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=== The experiment and the code ===
 
=== The experiment and the code ===
  
The code presented here were used in the PhD of B. Thierry <ref name=PhDThierry>B. Thierry, ''Analyse et Simulations Numériques du Retournement Temporel et de la Diffraction Multiple'', PhD. Thesis, Université de Nancy, France, 2011, http://tel.archives-ouvertes.fr/tel-00651312/</ref> (who also wrote this code) to study the super resolution phenomena in a deterministic medium and in the time harmonic regime.
+
The model presented here was used in the PhD of B. Thierry <ref name=PhDThierry>B. Thierry, ''Analyse et Simulations Numériques du Retournement Temporel et de la Diffraction Multiple'', PhD. Thesis, Université de Nancy, France, 2011, http://tel.archives-ouvertes.fr/tel-00651312/</ref> (who also wrote the code) to study the super resolution phenomenon in a deterministic medium and in the time harmonic regime.
  
 
==== Time reversal mirrors ====
 
==== Time reversal mirrors ====
  
The principle of time reversal is to use the reversibility of the waves equation in a non dissipative medium to back-propagate a signal on the source that first emitted it<ref>M. Fink and C. Prada. ''Acoustic time-reversal mirrors''. Inverse Problems, 17(1) :1761–1773, 2001. </ref>. Time Reversal Mirrors (TRM), designed by Matthias Fink and his team in the 90's, are composed by a large number of transducers which can play alternatively the role of emitters and receivers. Associated to a numerical treatment module, they are able to record a signal, time reverses it, and back propagates it into the medium. The applications are numerous, such as submarine communication or kidney stone destructions.
+
The principle of time reversal is to use the reversibility of the wave equation in non dissipative media to back-propagate a signal on the source that first emitted it<ref>M. Fink and C. Prada. ''Acoustic time-reversal mirrors''. Inverse Problems, 17(1) :1761–1773, 2001. </ref>. Time Reversal Mirrors (TRM), designed by Matthias Fink and his team in the 90's, are composed of a large number of transducers which can play alternatively the role of emitters and receivers. Associated to a numerical treatment module, they are able to record a signal, time reverse it, and back propagate it into the medium. The applications are numerous, such as submarine communication or kidney stone destruction.
  
==== Super resolution phenomena ====
+
==== Super resolution phenomenon ====
  
In a homogeneous medium, the wave back-propagated by the TRM focus the source with a resolution generally given by
+
In a homogeneous medium, the wave back-propagated by the TRM focuses the source with a resolution generally given by
 
$$
 
$$
 
R = \frac{\lambda d}{a},
 
R = \frac{\lambda d}{a},
Line 23: Line 23:
 
* $d$ is the distance between the TRM and the source
 
* $d$ is the distance between the TRM and the source
 
* $a$ is the aperture of the TRM (its size for a linear mirror)
 
* $a$ is the aperture of the TRM (its size for a linear mirror)
When the medium is heterogeneous, it is well-known that the back propagated wave will still focus on the point source with moreover a more accurate precision than in the homogeneous medium. In the litterature, this is generally imputed to the multi-pathing effect: the multiple scattering produce multiple path between the sources and the mirror, which then receives more information compared to the same experiment in a homogeneous medium.
+
When the medium is heterogeneous, it is well-known that the back propagated wave will still focus on the point source with moreover a more accurate precision than in the homogeneous medium. In the litterature, this is generally imputed to the multi-pathing effect: the multiple scattering produces multiple paths between the sources and the mirror, which then receives more information compared to the same experiment in a homogeneous medium.
  
 
==== Time reversal experiment ====
 
==== Time reversal experiment ====
  
Consider a point source $\mathbf{s}$ and a rectangular time reversal mirror $\mathcal{M}$ placed at finite distance of the source. The experiment can be split into three step
+
Consider a point source $\mathbf{s}$ and a rectangular time reversal mirror $\mathcal{M}$ placed at finite distance of the source. The experiment can be split into three steps
 
* First, the source emits a wave that propagates throughout the medium
 
* First, the source emits a wave that propagates throughout the medium
* Second, The TRM receives and records the wave
+
* Second, the TRM receives and records the wave
 
* Finally, it back-propagates it into the medium. The back-propagated field should then focus on the point source.
 
* Finally, it back-propagates it into the medium. The back-propagated field should then focus on the point source.
 
The context of the experiment is the following:
 
The context of the experiment is the following:
* The time reversal mirror is non intrusive (does not reflect waves), continuous and thick. This last condition is to avoid crack in the mesh.
+
* The time reversal mirror is non intrusive (does not reflect waves), continuous and thick. This last condition is to avoid cracks in the mesh.
 
* Waves are assumed to be time harmonic of pulsation $\omega$: $\mathscr{U}(\mathbf{x}, t) = u(\mathbf{x})e^{-ikct}$, where $k= \omega/c$ and $c$ is the speed of sound in the vacuum.
 
* Waves are assumed to be time harmonic of pulsation $\omega$: $\mathscr{U}(\mathbf{x}, t) = u(\mathbf{x})e^{-ikct}$, where $k= \omega/c$ and $c$ is the speed of sound in the vacuum.
** The time-harmonic assumption implies that the time reverse operation is nothing but a phase conjugation.
+
** The time-harmonic assumption implies that the time reversal operation is nothing but a phase conjugation.
  
 
==== Context of the code ====
 
==== Context of the code ====
  
The simulation presented here are achieved in a time-harmonic regime only in two dimension. The equation to be solved is then the Helmholtz equation. The heterogeneous medium is modelled as multiple circular obstacles with an inner wavelength (a contrast). The wavenumber, even if not fully random, is still randomized by the position of the disks and the constrast function. This code propose to:
+
The simulations presented here are achieved in the time-harmonic regime and in two dimensions. The equation to be solved is then the Helmholtz equation. The heterogeneous medium is modelled as multiple circular obstacles with an inner wavelength (a contrast). The wavenumber, even if not fully random, is still randomized by the position of the disks and the constrast function. The code allows to:
* Simulate the time reversal experiment in a homogeneous medium (no obstacle)
+
* Simulate the time reversal experiment in a homogeneous medium (no obstacles)
* Study the super resolution phenomena by adding circular scaterrers between the source and the TRM
+
* Study the super resolution phenomenon by adding circular scaterrers between the source and the TRM
* For both medium, monochromatic waves are available (one frequency) or point source wave with a bandwith. This permits to simulate time dependent problem but is highly time consuming, in term of CPU.
+
* For both media, monochromatic waves are available (one frequency) or point source waves with a bandwidth, which permits to simulate time-dependent problems (but is highly time consuming, in terms of CPU usage).
  
 
In addition, the graphical interface allows to:
 
In addition, the graphical interface allows to:
Line 47: Line 47:
 
* Specify the aperture of the mirror
 
* Specify the aperture of the mirror
 
* Add the obstacles, randomly placed in a customizable box.  
 
* Add the obstacles, randomly placed in a customizable box.  
* The contrast function can also be ramdonized or be manually specified either the same for every obstacles or a different one for every scatterers.
+
* The contrast function can be ramdonized or be manually specified, either the same for each obstacle or not.
  
 
=== Mathematical problem (monochromatic wave) ===
 
=== Mathematical problem (monochromatic wave) ===
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\lim_{\|\mathbf{x}\|\to\infty} \frac{1}{\|\mathbf{x}\|^{1/2}}\left(\nabla u \cdot \frac{\mathbf{x}}{\|\mathbf{x}\|} - iku\right) = 0.
 
\lim_{\|\mathbf{x}\|\to\infty} \frac{1}{\|\mathbf{x}\|^{1/2}}\left(\nabla u \cdot \frac{\mathbf{x}}{\|\mathbf{x}\|} - iku\right) = 0.
 
$$
 
$$
The unique solution of problem (\ref{eq:ue}) is nothing but the Green function $G_k^n(\cdot, \mathbf{s})$ centered on $\mathbf{s}$.
+
The unique solution of problem \ref{eq:ue} is nothing but the Green function $G_k^n(\cdot, \mathbf{s})$ centered on $\mathbf{s}$.
 
$$
 
$$
 
\forall \mathbf{x}\neq\mathbf{s},\qquad u_E(\mathbf{x})= G_k^n(\mathbf{x},\mathbf{s}).
 
\forall \mathbf{x}\neq\mathbf{s},\qquad u_E(\mathbf{x})= G_k^n(\mathbf{x},\mathbf{s}).
Line 98: Line 98:
 
\forall \mathbf{y}\in \mathbb{R}^2\setminus\overline{\mathcal{M}}, \qquad u_{back}(\mathbf{y}) = \int_{\mathcal{M}} G_k^n(\mathbf{x},\mathbf{y}) \overline{G_k^n(\mathbf{x},\mathbf{s})}\; {\rm d}\mathbf{x}.
 
\forall \mathbf{y}\in \mathbb{R}^2\setminus\overline{\mathcal{M}}, \qquad u_{back}(\mathbf{y}) = \int_{\mathcal{M}} G_k^n(\mathbf{x},\mathbf{y}) \overline{G_k^n(\mathbf{x},\mathbf{s})}\; {\rm d}\mathbf{x}.
 
$$
 
$$
For a homogeneous medium, as the Green function is known explicitely, so is the back propagated wave. This function can be plot directly with, ''e.g.'' a Python script, Matlab, Scilab, etc. With GMSH/GetDP, $u_{back}$ will however be computed by solving problem (\ref{eq:uback}), but using the value of the Green function. For the heterogenous case and as the Green function is unknown, the emission and the back propagation steps are both computed numerically.
+
For a homogeneous medium, as the Green function is known explicitely, so is the back propagated wave. This function can be plot directly with, ''e.g.'' a Python script, Matlab, Scilab, etc. With GMSH/GetDP, $u_{back}$ will however be computed by solving problem \ref{eq:uback}, but using the value of the Green function. For the heterogenous case and as the Green function is unknown, the emission and the back propagation steps are both computed numerically.
  
 
==== Theoretical results (homogenous medium only) ====
 
==== Theoretical results (homogenous medium only) ====
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The emitted wave $\mathscr{U}_E$ is then obtained by integrating over all the frequencies:
 
The emitted wave $\mathscr{U}_E$ is then obtained by integrating over all the frequencies:
 
$$
 
$$
\mathscr{U}_E(\mathbf{x}, t) = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k} u_E^k(\mathbf{x})e^{-i k ct}\;{\rm d}k,
+
\mathscr{U}_E(\mathbf{x}, t) = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k} u_E^k(\mathbf{x})e^{-i k ct}\;{\rm d}k
 +
= \int_{k=k_0-\Delta_k}^{k_0+\Delta_k} G_k^n(\mathbf{x})e^{-i k ct}\;{\rm d}k,
 
$$
 
$$
 
where $c$ is the velocity in the medium.
 
where $c$ is the velocity in the medium.
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The back propaged wave $\mathscr{U}_{back}$ is hence given by
 
The back propaged wave $\mathscr{U}_{back}$ is hence given by
 
$$
 
$$
\forall k\in[k_0 - \Delta_{k},k_0 + \Delta_{k}],\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad  \mathscr{U}_{back}(\mathbf{y},t) = \int_{\mathcal{M}}\overline{G_{k}^n(\mathbf{x},\mathbf{s})}G_{k}^n(\mathbf{x},\mathbf{y})\;{
+
\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad  \mathscr{U}_{back}(\mathbf{y},t) = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k}\int_{\mathcal{M}}\overline{G_{k}^n(\mathbf{x},\mathbf{s})}G_{k}^n(\mathbf{x},\mathbf{y})\;{
\rm d}e^{-ikct}\mathbf{x}{\rm d}k.
+
\rm d}\mathbf{x} e^{-ikct}{\rm d}k.
 
$$
 
$$
  
Line 150: Line 151:
 
On the other hand, the back-propagated field reduces to:
 
On the other hand, the back-propagated field reduces to:
 
\begin{equation}\label{eqRT:Ureyt}
 
\begin{equation}\label{eqRT:Ureyt}
U_{back}(\mathbf{y},t) =  2{\rm d}k\int_{\mathcal{M}}   
+
\mathscr{U}_{back}(\mathbf{y},t) =  2{\rm d}k\int_{\mathcal{M}}   
 
\frac{{\rm sinc}\left[{\rm d}k\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right] - ct\right)\right]  
 
\frac{{\rm sinc}\left[{\rm d}k\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right] - ct\right)\right]  
 
e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|}
 
e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|}
Line 157: Line 158:
 
It should be pointed out that on the point $\mathbf{y}=\mathbf{s}$, the cardinal sine term vanishes and the above expression reduces to
 
It should be pointed out that on the point $\mathbf{y}=\mathbf{s}$, the cardinal sine term vanishes and the above expression reduces to
 
$$
 
$$
U_{back}(\mathbf{s},t) =  2{\rm d}k \int_{\mathcal{M}}   
+
\mathscr{U}_{back}(\mathbf{s},t) =  2{\rm d}k \int_{\mathcal{M}}   
 
\frac{{\rm sinc}\left(-{\rm d}k ct\right)}{\|\mathbf{x}-\mathbf{s}\|^{2}}
 
\frac{{\rm sinc}\left(-{\rm d}k ct\right)}{\|\mathbf{x}-\mathbf{s}\|^{2}}
 
  \; {\rm d}\mathbf{x} = 2{\rm d}k{\rm sinc}\left({\rm d}k ct\right) \int_{\mathcal{M}}   
 
  \; {\rm d}\mathbf{x} = 2{\rm d}k{\rm sinc}\left({\rm d}k ct\right) \int_{\mathcal{M}}   
 
\frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}.  
 
\frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}.  
 
$$
 
$$
Hence, when $\mathbf{y} = \mathbf{s}$, the modulus of $U_{back}(\mathbf{s},t)$ reaches its maximal value at time $t = 0$. On the other hand and on a point $\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}}$, when $t=0$ the equality (\ref{eqRT:Ureyt}) becomes
+
Hence, when $\mathbf{y} = \mathbf{s}$, the modulus of $\mathscr{U}_{back}(\mathbf{s},t)$ reaches its maximal value at time $t = 0$. On the other hand and on a point $\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}}$, when $t=0$ the equality \ref{eqRT:Ureyt} becomes
 
$$
 
$$
\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad U_{back}(\mathbf{y},t = 0) =  2{\rm d}k\int_{\mathcal{M}}   
+
\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad \mathscr{U}_{back}(\mathbf{y},t = 0) =  2{\rm d}k\int_{\mathcal{M}}   
 
\frac{{\rm sinc}\left[{\rm d}k\left(\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right)\right]  
 
\frac{{\rm sinc}\left[{\rm d}k\left(\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right)\right]  
 
e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|}
 
e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|}
 
\;{\rm d}\mathbf{x}.
 
\;{\rm d}\mathbf{x}.
 
$$
 
$$
On $\mathbf{y} = \mathbf{s}$, the quantity $U_{back}(\mathbf{y},t = 0)$ does not depend on $k$ anymore and reads as
+
On $\mathbf{y} = \mathbf{s}$, the quantity $\mathscr{U}_{back}(\mathbf{y},t = 0)$ does not depend on $k$ anymore and reads as
 
$$
 
$$
U_{back}(\mathbf{s},t = 0) =  2{\rm d}k\int_{\mathcal{M}}   
+
\mathscr{U}_{back}(\mathbf{s},t = 0) =  2{\rm d}k\int_{\mathcal{M}}   
 
\frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}.
 
\frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}.
 
$$
 
$$
For every other point $\mathbf{y}$ (up to symetric points of $\mathbf{s}$ with respect to the TRM), the stationary phase theorem can be applied, as in the time harmonic regime. Hence, a decrease of $\left|U_{back}(\mathbf{y},t = 0)\right|$ with respect to $k_0$ can be proven. This decrease is moreover stronger du to the presence of the cardinal sine term. As a consequence, at time $t = 0$, the wave $U_{back}$ focuses on the point source $\mathbf{s}$.
+
For every other point $\mathbf{y}$ (up to symetric points of $\mathbf{s}$ with respect to the TRM), the stationary phase theorem can be applied, as in the time harmonic regime. Hence, a decrease of $\left|\mathscr{U}_{back}(\mathbf{y},t = 0)\right|$ with respect to $k_0$ can be proven. This decrease is moreover stronger du to the presence of the cardinal sine term. As a consequence, at time $t = 0$, the wave $\mathscr{U}_{back}$ focuses on the point source $\mathbf{s}$.
  
Finally, remark that at $t=0$, the general expression of $U_{back}$, becomes
+
Finally, remark that at $t=0$, the general expression of $\mathscr{U}_{back}$, becomes
 
$$
 
$$
\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad U_{back}(\mathbf{y},t = 0) = \int_{k_0-{\rm d}k}^{k_0+{\rm d}k} U_{back}(\mathbf{y},k) \;{\rm d} k.
+
\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad \mathscr{U}_{back}(\mathbf{y},t = 0) = \int_{k_0-{\rm d}k}^{k_0+{\rm d}k} \mathscr{U}_{back}(\mathbf{y},k) \;{\rm d} k.
 
$$
 
$$
In other words, the wave $U_{back}$ on $\mathbf{y}$ and at time $t=0$ is obtained by the sum of every time-harmonic fields $U_{back}(\cdot\,,k)$, for $k\in[k_0-{\rm d}k,k_0+{\rm d}k]$. The quantity $U_{back}(\mathbf{y},t = 0)$ can then be seen as an average over the frequencies $k$ of the different fields $U_{back}(\cdot\,,k)$.
+
In other words, the wave $\mathscr{U}_{back}$ on $\mathbf{y}$ and at time $t=0$ is obtained by the sum of every time-harmonic fields $\mathscr{U}_{back}(\cdot\,,k)$, for $k\in[k_0-{\rm d}k,k_0+{\rm d}k]$. The quantity $\mathscr{U}_{back}(\mathbf{y},t = 0)$ can then be seen as an average over the frequencies $k$ of the different fields $u_{back}(\cdot\,,k)$.
  
=== Approximation with a PML ===
+
=== Numerical resolution ===
  
To be solved using finite element method, problem (\ref{eq:uback}) is truncated using a Perfectly Matched Layer (PML), as in [[Acoustic_Scattering|the scattering problem with a PML]]. First, let us build the domain $\Omega_{e}$ on which an approximation of the back propagated field will be computed. A rectangular shape for $\Omega_{e}$ is natural in that problem:
+
==== Approximation with a PML ====
 +
To be solved using finite element method, problem \ref{eq:uback} is truncated using a Perfectly Matched Layer (PML), as in [[Acoustic_scattering|the scattering problem with a PML]].  
 +
<!--First, let us build the domain $\Omega_{e}$ on which an approximation of the back propagated field will be computed. A rectangular shape for $\Omega_{e}$ is natural in that problem:
 
$$
 
$$
 
\begin{array}{rcl}
 
\begin{array}{rcl}
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\end{cases}
 
\end{cases}
 
$$
 
$$
The functions $\sigma_{x_{1}}$ and $\sigma_{x_{2}}$ are called damping functions. When $\sigma_{x_{1}}$ and $\sigma_{x_{2}}$ are equal to zero, then equation (\ref{eqRT:HelmholtzPML}) reduce to (classical) Helmholtz equation, that is why in general, these functions vanish on $\Omega_{e}$. On the other hand, when the damping functions are positive, they act as a dissipative term in the equation. Remark that, by introducing the following matrix
+
The functions $\sigma_{x_{1}}$ and $\sigma_{x_{2}}$ are called damping functions. When $\sigma_{x_{1}}$ and $\sigma_{x_{2}}$ are equal to zero, then equation \ref{eqRT:HelmholtzPML} reduce to (classical) Helmholtz equation, that is why in general, these functions vanish on $\Omega_{e}$. On the other hand, when the damping functions are positive, they act as a dissipative term in the equation. Remark that, by introducing the following matrix
 
$$
 
$$
 
D = \left[  
 
D = \left[  
Line 228: Line 231:
 
  \right],
 
  \right],
 
$$
 
$$
then problem (\ref{eqRT:HelmholtzPML}) can be rewritten as
+
then problem \ref{eqRT:HelmholtzPML} can be rewritten as
 
\begin{equation}\label{eqRT:eqPML}
 
\begin{equation}\label{eqRT:eqPML}
 
\left\{\begin{array}{r c l l}
 
\left\{\begin{array}{r c l l}
Line 252: Line 255:
 
Inside $\Omega_e$, the damping functions vanish whereas inside $\Omega_{PML}$, at least one of them do not vanish. Note that in the "corners" of $\Omega_{PML}$, both damping function are note equal to zero.
 
Inside $\Omega_e$, the damping functions vanish whereas inside $\Omega_{PML}$, at least one of them do not vanish. Note that in the "corners" of $\Omega_{PML}$, both damping function are note equal to zero.
  
Finally, let us just remark that the efficiency of the PML can be improved by using another type of damping functions, as quadratic functions or even functions with an infinite integral on $\Omega_{PML}$, as the one proposed by Bermudez et. al <ref>A. Bermúdez, L. Hervella-Nieto, A. Prieto and R. Rodríguez, ''An optimal perfectly matched layer with unbounded absorbing function for time-harmonic acoustic scattering problems'', J. Comput. Phys., 2007</ref>.
+
Finally, let us just remark that the efficiency of the PML can be improved by using another type of damping functions, as quadratic functions or even functions with an infinite integral on $\Omega_{PML}$, as the one proposed by Bermudez et. al <ref>A. Bermúdez, L. Hervella-Nieto, A. Prieto and R. Rodríguez, ''An optimal perfectly matched layer with unbounded absorbing function for time-harmonic acoustic scattering problems'', J. Comput. Phys., 2007</ref>.-->
  
=== Weak formulation ===
+
==== Weak formulation ====
  
To simplify, the approximation of the back propagated field in $\Omega_e$ is still denoted by $u_{back}$ instead of $u^{PML}_{back}$. Function $u_{back}$ will be sough in the Sobolev space $H^1(\Omega_T)$and the weak formulation of problem (\ref{eq:uback}) reads as
+
To simplify, the approximation of the back propagated field in $\Omega_e$ is still denoted by $u_{back}$ instead of $u^{PML}_{back}$. Function $u_{back}$ will be sough in the Sobolev space $H^1(\Omega_T)$and the weak formulation of problem \ref{eq:uback} reads as
 
$$
 
$$
 
\left\{
 
\left\{
Line 268: Line 271:
 
\end{array}\right.
 
\end{array}\right.
 
$$
 
$$
where $u_E$ is here equal to the Green function: $u_E = G(\cdot,\mathbf{s})$. Next section explains how to implement this weak formulation in GetDP.
+
where $u_E$ is here equal to the Green function: $u_E = G(\cdot,\mathbf{s})$.
 
 
<!--
 
== Outline of the program ==
 
 
 
The geometry is relatively simple and there are three main parameters:
 
* Distance between the source and the TRM.
 
* Aperture of the TRM (size in the x-direction)
 
* Thickness of the TRM (size in the y-direction)
 
These distances will depend on a reference frequency named $k_{geo}$. The discretization of the mesh will depends on another fictitious frequency $k_{dis}$ whereas the frequency applied in the Helmholtz equation will be name $k$. The geometry is provided by TR.geo whereas parameters are splited in four different files
 
* data_geometry.geo: contains every parameters of the geometry (distance between source and mirror, aperture, $\ldots$)
 
* data_gmsh_getdp.geo: contains common and "constant" parameter (size of the PML, $\ldots$)
 
* data_REALFREQUENCY.geo: this is where $k$ is stored
 
* data_Artificial_Frequencies.geo: and where $k_{geo}$ and $k_{dis}$ are given
 
 
 
The .pro parts is composed by two files :
 
* TR.pro: contains some values of interest, the groups, etc.
 
* TimeReversal.pro: contains the weak formulation, post operations, etc.
 
 
 
-->
 
  
 
=== Results ===
 
=== Results ===
  
==== Monochromatic wave ====
+
==== Homogeneous medium ====
  
The three following pictures depicted respectively the geometry, the real part of $u_{back}$ and the absolute value of $u_{back}$, with the above parameters ($\lambda_{geo} = 2\pi/k_{geo}$:
+
The three following pictures depict respectively the geometry, the real part of $u_{back}$ and the absolute value of $u_{back}$, with the following parameters ($\lambda_{geo} = 2\pi/k_{geo}$):
 
* $k_{geo} = 10$
 
* $k_{geo} = 10$
 
* Distance between source and mirror: $20\lambda_{geo}$
 
* Distance between source and mirror: $20\lambda_{geo}$
Line 301: Line 285:
 
* $k = k_{geo} = 10$
 
* $k = k_{geo} = 10$
  
[[File:TRFreeSpace_geo.png|250px|frameless|alt=Geometry|Geometry.]]
+
For a monochromatic wave of frequency $k_0=k_{geo}$, which corresponds to a harmonic source, the results are:
[[File:TRFreeSpace_Uback.jpg|250px|frameless|alt=Real part of the back propagated field|Real part of the back propagated field.]]
+
 
[[File:TRFreeSpace_Uback_abs.jpg|250px|frameless|alt=Absolute value of the back propagated field|Absolute value of the back propagated field.]]
+
[[File:TRFreeSpace_geo.png|250px|frameless|alt=Geometry|Geometry and ONELAB interface for a homogeneous medium.]]
 +
[[File:TRFreeSpace_Uback.jpg|250px|frameless|alt=Real part of the back propagated field in a heterohomogeneous medium (monochromatic wave|Real part of the back propagated field in a heterohomogeneous medium (monochromatic wave.]]
 +
[[File:TRFreeSpace_Uback_abs.jpg|250px|frameless|alt=Absolute value of the back propagated field in a heterohomogeneous medium (monochromatic wave)|Absolute value of the back propagated field in a heterohomogeneous medium (monochromatic wave.]]
 +
 
 +
Now, using the same geometry, a polychromatic wave is used as emitted wave instead of a pulse. The frequency now lies between $[k_0-\Delta_k, k_0+\Delta_k]$ with $k_0 = k_{geo} = 10$ and $\Delta_k=k_0/5 = 2$. The segment $[8,12]$ is sampled by $64$ frequencies and here is the result (on left the real part of the back propagated field, and on the right, its absolute value):
 +
 
 +
[[File:TR_bandwidthRE.png|250px|frameless|alt=Real part of the back propagated field in a homogeneous medium (polychromatic wave)|Real part of the back propagated field in a homogeneous medium (polychromatic wave).]][[File:TR_bandwidth.png|250px|frameless|alt=Absolute value of the back propagated field in a homogeneous medium (polychromatic wave)|Absolute value of the back propagated field in a homogeneous medium (polychromatic wave).]]
 +
 
 +
==== Heterogeneous medium ====
 +
 
 +
The same geometry is used again but with arround 350 circular obstacles placed between the source and the mirror. They are all of radius $\lambda_{geo}/5$ and placed in a box between the source and the TRM. The results are the following, first for a monochromatic wave:
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[[File:TRCLUTTER_onelab.png|250px|frameless|alt=Geometry and ONELAB interface for heterogeneous medium|Geometry and ONELAB interface for heterogeneous medium.]]
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[[File:TRCLUTTER_monoRE.png|250px|frameless|alt=Real part of the back propagated field|Real part of the back propagated field in a heterogeneous medium (monochromatic wave).]]
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[[File:TRCLUTTER_mono.png|250px|frameless|alt=Absolute value of the back propagated field|Absolute value of the back propagated field in a heterogeneous medium (monochromatic wave).]]
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And second, for a polychromatic wave (same parameters as for the homogeneous medium). The focal spot is clearly sharper for the heterogeneous medium  (on the left the real part of the back propagated field, and on the right, its absolute value):
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[[File:TRCLUTTER_bandwidthRE.png|250px|frameless|alt=Real part of the back propagated field in a heterogeneous medium (polychromatic wave)|Real part of the back propagated field in a heterogeneous medium (polychromatic wave).]]
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[[File:TRCLUTTER_bandwidth.png|250px|frameless|alt=Real part of the back propagated field in a heterogeneous medium (polychromatic wave)|Real part of the back propagated field in a heterogeneous medium (polychromatic wave).]]
  
 
== References ==
 
== References ==

Latest revision as of 19:30, 14 December 2015

2D model of time reversal of acoustic waves.

Download model archive (time_reversal.zip)
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Contents

Additional information

To run the time reversal model, open TR.pro with Gmsh.

The experiment and the code

The model presented here was used in the PhD of B. Thierry [1] (who also wrote the code) to study the super resolution phenomenon in a deterministic medium and in the time harmonic regime.

Time reversal mirrors

The principle of time reversal is to use the reversibility of the wave equation in non dissipative media to back-propagate a signal on the source that first emitted it[2]. Time Reversal Mirrors (TRM), designed by Matthias Fink and his team in the 90's, are composed of a large number of transducers which can play alternatively the role of emitters and receivers. Associated to a numerical treatment module, they are able to record a signal, time reverse it, and back propagate it into the medium. The applications are numerous, such as submarine communication or kidney stone destruction.

Super resolution phenomenon

In a homogeneous medium, the wave back-propagated by the TRM focuses the source with a resolution generally given by $$ R = \frac{\lambda d}{a}, $$ where

  • $\lambda = 2\pi/k$ is the central wavelength
  • $d$ is the distance between the TRM and the source
  • $a$ is the aperture of the TRM (its size for a linear mirror)

When the medium is heterogeneous, it is well-known that the back propagated wave will still focus on the point source with moreover a more accurate precision than in the homogeneous medium. In the litterature, this is generally imputed to the multi-pathing effect: the multiple scattering produces multiple paths between the sources and the mirror, which then receives more information compared to the same experiment in a homogeneous medium.

Time reversal experiment

Consider a point source $\mathbf{s}$ and a rectangular time reversal mirror $\mathcal{M}$ placed at finite distance of the source. The experiment can be split into three steps

  • First, the source emits a wave that propagates throughout the medium
  • Second, the TRM receives and records the wave
  • Finally, it back-propagates it into the medium. The back-propagated field should then focus on the point source.

The context of the experiment is the following:

  • The time reversal mirror is non intrusive (does not reflect waves), continuous and thick. This last condition is to avoid cracks in the mesh.
  • Waves are assumed to be time harmonic of pulsation $\omega$: $\mathscr{U}(\mathbf{x}, t) = u(\mathbf{x})e^{-ikct}$, where $k= \omega/c$ and $c$ is the speed of sound in the vacuum.
    • The time-harmonic assumption implies that the time reversal operation is nothing but a phase conjugation.

Context of the code

The simulations presented here are achieved in the time-harmonic regime and in two dimensions. The equation to be solved is then the Helmholtz equation. The heterogeneous medium is modelled as multiple circular obstacles with an inner wavelength (a contrast). The wavenumber, even if not fully random, is still randomized by the position of the disks and the constrast function. The code allows to:

  • Simulate the time reversal experiment in a homogeneous medium (no obstacles)
  • Study the super resolution phenomenon by adding circular scaterrers between the source and the TRM
  • For both media, monochromatic waves are available (one frequency) or point source waves with a bandwidth, which permits to simulate time-dependent problems (but is highly time consuming, in terms of CPU usage).

In addition, the graphical interface allows to:

  • Place the TRM and the point source
  • Specify the aperture of the mirror
  • Add the obstacles, randomly placed in a customizable box.
  • The contrast function can be ramdonized or be manually specified, either the same for each obstacle or not.

Mathematical problem (monochromatic wave)

Modelling

Let $M$ random disks $\Omega^-_p$ be placed between the source and the mirror, with $M$ possibly equal to $0$ (homogeneous medium). Let the three step, emission, reception/time reversal and back propagation, be mathematically modelled as follows:

  • Emission: let $u_E$ be the wave emitted by the point source $\mathbf{s}$. Thus, $u_E$ is the solution of

\begin{equation}\label{eq:ue} \begin{cases} (\Delta + k^2n^2) u_E = -\delta_{\mathbf{s}} & \text{ in } \mathbb{R}^2,\\ u_E \text{ outgoing}. \end{cases} \end{equation} Operator $\Delta v := \sum_{j=1}^2 \partial^2_{x_j}v$ is the Laplacian operator, $\delta_{\mathbf{s}}$ is the Dirac distribution centered on $\mathbf{s}$ and the first equation is known as the Helmholtz equation. The quantity $k$ is the wavenumber and $n$ is the contrast function such that $$ n(\mathbf{x})=\begin{cases} {\rm n}_p & \text{ if }\mathbf{x}\in\Omega^-_p,\\ 1 & \text{ otherwise.} \end{cases} $$ The outgoing condition stands for the Sommerfeld radiation condition at infinity $$ \lim_{\|\mathbf{x}\|\to\infty} \frac{1}{\|\mathbf{x}\|^{1/2}}\left(\nabla u \cdot \frac{\mathbf{x}}{\|\mathbf{x}\|} - iku\right) = 0. $$ The unique solution of problem \ref{eq:ue} is nothing but the Green function $G_k^n(\cdot, \mathbf{s})$ centered on $\mathbf{s}$. $$ \forall \mathbf{x}\neq\mathbf{s},\qquad u_E(\mathbf{x})= G_k^n(\mathbf{x},\mathbf{s}). $$ In the homogeneous case ($n=1$), an analytic expression of the emitted wave $u_E^0$ is known since the Green function, denoted by $G_k^0(\cdot, \mathbf{s})$, is given by: $$ \forall \mathbf{x}\neq\mathbf{s},\qquad G_k^0(\mathbf{x},\mathbf{s}) = \frac{i}{4}H^{(1)}_0(k\|\mathbf{x}-\mathbf{s}\|), $$ where $H^{(1)}_0$ is the zeroth order Hankel function of the first kind. In a heterogeneous medium and except for particular case, the Green function is unknown and must be approximated numerically.

  • Reception: the TRM $\mathcal{M}$ measures the emitted field ($u_E|_{\mathcal{M}}$) and time-reversed it. As highlighted above, this operation is equivalent to a phase conjugation: $\overline{u_E}|\mathcal{M}$.
  • Finally, the mirror back-propagates the signal. This last step is modelled as new wave $u_{back}$, solution of the following problem

\begin{equation}\label{eq:uback} \begin{cases} (\Delta + k^2) u_{back} = -\overline{u_E}|_{\mathcal{M}} = -\overline{G_k^n(\cdot,\mathbf{s})}|_{\mathcal{M}} & \text{ in } \mathbb{R}^2,\\ u_{back} \text{ outgoing}. \end{cases} \end{equation} The expression of $u_{back}$ is hence given by $$ \forall \mathbf{y}\in \mathbb{R}^2\setminus\overline{\mathcal{M}}, \qquad u_{back}(\mathbf{y}) = \int_{\mathcal{M}} G_k^0(\mathbf{x},\mathbf{y}) \overline{u_E(\mathbf{x})}\; {\rm d}\mathbf{x}. $$ Replacing $u_E$ by the Green function leads to a convolution product between Green functions: $$ \forall \mathbf{y}\in \mathbb{R}^2\setminus\overline{\mathcal{M}}, \qquad u_{back}(\mathbf{y}) = \int_{\mathcal{M}} G_k^n(\mathbf{x},\mathbf{y}) \overline{G_k^n(\mathbf{x},\mathbf{s})}\; {\rm d}\mathbf{x}. $$ For a homogeneous medium, as the Green function is known explicitely, so is the back propagated wave. This function can be plot directly with, e.g. a Python script, Matlab, Scilab, etc. With GMSH/GetDP, $u_{back}$ will however be computed by solving problem \ref{eq:uback}, but using the value of the Green function. For the heterogenous case and as the Green function is unknown, the emission and the back propagation steps are both computed numerically.

Theoretical results (homogenous medium only)

Propositions 3.8 and A.7 (appendix) of [1], shows the focusing property of the back propagated field for a thin and a thick TRM in 2 dimensions. As only a thick TRM is considered here, then only this result is summaries in this page. First, let be introduced the cone $\mathcal{C}$ of apex $\mathbf{s}$ and basis the mirror (see figure on right). Then, when the wavenumber $k$ tends to infinity, the back-propagate field $u_{back}$ focuses on the point source $\mathbf{s}$ in the sens that

  • if $\mathbf{y} \in \mathbb{R}^2\setminus\overline{\mathcal{C}}$, then $|u_{back}(\mathbf{y})| = O(k^{-2})$,
  • if $\mathbf{y} \in \mathcal{C}$, then $ |u_{back}(\mathbf{y})| = O(k^{-3/2})$,
  • if $\mathbf{y} = \mathbf{s}$, then $ |u_{back}(\mathbf{y})| = O(k^{-1})$.

Mathematical problem (Band of frequencies)

This example is also the opportunity to show results using a band of frequencies. In that case, $k\in[k_0 - \Delta_k, k_0+\Delta_k]$, with, e.g. $k_0 =10$ and $\Delta_k = k_0/5$.

Emitted wave

The emitted wave $\mathscr{U}_E$ is then obtained by integrating over all the frequencies: $$ \mathscr{U}_E(\mathbf{x}, t) = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k} u_E^k(\mathbf{x})e^{-i k ct}\;{\rm d}k = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k} G_k^n(\mathbf{x})e^{-i k ct}\;{\rm d}k, $$ where $c$ is the velocity in the medium.

Back propagated wave $\mathscr{U}_{back}$ by the TRM

Recall that the expression of the back propagated field $u_{back}(\cdot\,,k)$ of frequency $k$, in the time harmonic regime, is given by, $$ \forall k\in[k_0 - \Delta_{k},k_0 + \Delta_{k}],\forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad u_{back}(\mathbf{y},k) = \int_{\mathcal{M}}\overline{G_{k}^n(\mathbf{x},\mathbf{s})}G_{k}^n(\mathbf{x},\mathbf{y})\;{ \rm d}\mathbf{x}. $$ The back propaged wave $\mathscr{U}_{back}$ is hence given by $$ \forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad \mathscr{U}_{back}(\mathbf{y},t) = \int_{k=k_0-\Delta_k}^{k_0+\Delta_k}\int_{\mathcal{M}}\overline{G_{k}^n(\mathbf{x},\mathbf{s})}G_{k}^n(\mathbf{x},\mathbf{y})\;{ \rm d}\mathbf{x} e^{-ikct}{\rm d}k. $$

$3$D and homogeneous medium: theoretical results

In the $3$D and homogeneous case, the expression of the emitted field reduces to $$ \forall t \in\mathbb{R}, \forall\mathbf{x}\in\mathbb{R}^{3}\setminus\{\mathbf{s}\}, \qquad \mathscr{U}_E(\mathbf{x},t) = \frac{\Delta_k{\rm sinc}\left[\Delta_k\left(\|\mathbf{x}-\mathbf{s}\|-ct\right)\right] e^{ik_0\left(\|\mathbf{x}-\mathbf{s}\| - ct\right)}}{2\pi\|\mathbf{x}-\mathbf{s}\|}, $$ where ${\rm sinc}(x) = \sin(x)/x$. Remark first that, due to the quantity $e^{ik_0\left(\|\mathbf{x}-\mathbf{s}\| - ct\right)}$, the wave $\mathscr{U}_E$ is propagating in a radial direction with respect to $\mathbf{s}$. The modulus of $\mathscr{U}_E(\mathbf{x},t)$ especially depends on the cardinal sine term, as: $$ \forall t \in\mathbb{R}, \forall\mathbf{x}\in\mathbb{R}^{3}\setminus\{\mathbf{s}\}, \qquad \left|\mathscr{U}_E(\mathbf{x},t)\right| = \left|\frac{\Delta_k{\rm sinc}\left[\Delta_k\left(\|\mathbf{x}-\mathbf{s}\|-ct\right)\right] }{2\pi\|\mathbf{x}-\mathbf{s}\|}\right|. $$ In particular, for a point $\mathbf{x}$ close to $\mathbf{s}$, the modulus of $\mathscr{U}_E(\mathbf{x},t)$ is reached at $t = 0$, when the value of the cardinal sine is $1$. This shows the presence of an impulsion at time $t=0$ at the source point. On the other hand, on a point $\mathbf{x}$ located at a distance $D$ from the source point, the modulus of $\mathscr{U}_E(\mathbf{x},t)$ is given by $$ \forall t \in\mathbb{R}, \qquad \left|\mathscr{U}_E(\mathbf{x},t)\right| = \left|\frac{\Delta_k{\rm sinc}\left[\Delta_k\left(D-ct\right)\right]}{2\pi D}\right|. $$ This quantity reaches its maximal value when $t = -D/c$. In other words, the perturbation created at time $t=0$ reaches the distance $D$ and thus the MRT, at time $t = D/c$.

On the other hand, the back-propagated field reduces to: \begin{equation}\label{eqRT:Ureyt} \mathscr{U}_{back}(\mathbf{y},t) = 2{\rm d}k\int_{\mathcal{M}} \frac{{\rm sinc}\left[{\rm d}k\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right] - ct\right)\right] e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|} \;{\rm d}\mathbf{x}. \end{equation} It should be pointed out that on the point $\mathbf{y}=\mathbf{s}$, the cardinal sine term vanishes and the above expression reduces to $$ \mathscr{U}_{back}(\mathbf{s},t) = 2{\rm d}k \int_{\mathcal{M}} \frac{{\rm sinc}\left(-{\rm d}k ct\right)}{\|\mathbf{x}-\mathbf{s}\|^{2}} \; {\rm d}\mathbf{x} = 2{\rm d}k{\rm sinc}\left({\rm d}k ct\right) \int_{\mathcal{M}} \frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}. $$ Hence, when $\mathbf{y} = \mathbf{s}$, the modulus of $\mathscr{U}_{back}(\mathbf{s},t)$ reaches its maximal value at time $t = 0$. On the other hand and on a point $\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}}$, when $t=0$ the equality \ref{eqRT:Ureyt} becomes $$ \forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad \mathscr{U}_{back}(\mathbf{y},t = 0) = 2{\rm d}k\int_{\mathcal{M}} \frac{{\rm sinc}\left[{\rm d}k\left(\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right)\right] e^{ik_0\left(\left[\|\mathbf{x}-\mathbf{y}\|-\|\mathbf{x}-\mathbf{s}\|\right]-ct\right)}}{\|\mathbf{x}-\mathbf{s}\|\|\mathbf{x}-\mathbf{y}\|} \;{\rm d}\mathbf{x}. $$ On $\mathbf{y} = \mathbf{s}$, the quantity $\mathscr{U}_{back}(\mathbf{y},t = 0)$ does not depend on $k$ anymore and reads as $$ \mathscr{U}_{back}(\mathbf{s},t = 0) = 2{\rm d}k\int_{\mathcal{M}} \frac{{\rm d}\mathbf{x}}{\|\mathbf{x}-\mathbf{s}\|^{2}}. $$ For every other point $\mathbf{y}$ (up to symetric points of $\mathbf{s}$ with respect to the TRM), the stationary phase theorem can be applied, as in the time harmonic regime. Hence, a decrease of $\left|\mathscr{U}_{back}(\mathbf{y},t = 0)\right|$ with respect to $k_0$ can be proven. This decrease is moreover stronger du to the presence of the cardinal sine term. As a consequence, at time $t = 0$, the wave $\mathscr{U}_{back}$ focuses on the point source $\mathbf{s}$.

Finally, remark that at $t=0$, the general expression of $\mathscr{U}_{back}$, becomes $$ \forall\mathbf{y}\in\mathbb{R}^{3}\setminus\overline{\mathcal{M}},\qquad \mathscr{U}_{back}(\mathbf{y},t = 0) = \int_{k_0-{\rm d}k}^{k_0+{\rm d}k} \mathscr{U}_{back}(\mathbf{y},k) \;{\rm d} k. $$ In other words, the wave $\mathscr{U}_{back}$ on $\mathbf{y}$ and at time $t=0$ is obtained by the sum of every time-harmonic fields $\mathscr{U}_{back}(\cdot\,,k)$, for $k\in[k_0-{\rm d}k,k_0+{\rm d}k]$. The quantity $\mathscr{U}_{back}(\mathbf{y},t = 0)$ can then be seen as an average over the frequencies $k$ of the different fields $u_{back}(\cdot\,,k)$.

Numerical resolution

Approximation with a PML

To be solved using finite element method, problem \ref{eq:uback} is truncated using a Perfectly Matched Layer (PML), as in the scattering problem with a PML.

Weak formulation

To simplify, the approximation of the back propagated field in $\Omega_e$ is still denoted by $u_{back}$ instead of $u^{PML}_{back}$. Function $u_{back}$ will be sough in the Sobolev space $H^1(\Omega_T)$and the weak formulation of problem \ref{eq:uback} reads as $$ \left\{ \begin{array}{l} \displaystyle{\text{Find } u \in H^1(\Omega_T) \text{ such that}}\\ \displaystyle{\forall u'\in H^1(\Omega_T),\qquad \int_{\Omega}D \nabla u \cdot\nabla u'\;{\rm d}\Omega - \int_{\Omega}k^2 S_{x_1} S_{x_2} uu'\;{\rm d}\Omega + \int_{\mathcal{M}} \overline{u_E} u'\;{\rm d}\mathcal{M} =0,} \end{array}\right. $$ where $u_E$ is here equal to the Green function: $u_E = G(\cdot,\mathbf{s})$.

Results

Homogeneous medium

The three following pictures depict respectively the geometry, the real part of $u_{back}$ and the absolute value of $u_{back}$, with the following parameters ($\lambda_{geo} = 2\pi/k_{geo}$):

  • $k_{geo} = 10$
  • Distance between source and mirror: $20\lambda_{geo}$
  • Aperture of the TRM: $15\lambda_{geo}$
  • Thickness of the TRM: $0.2\lambda_{geo}$
  • $k_{dis} = 15$
  • $k = k_{geo} = 10$

For a monochromatic wave of frequency $k_0=k_{geo}$, which corresponds to a harmonic source, the results are:

Geometry Real part of the back propagated field in a heterohomogeneous medium (monochromatic wave Absolute value of the back propagated field in a heterohomogeneous medium (monochromatic wave)

Now, using the same geometry, a polychromatic wave is used as emitted wave instead of a pulse. The frequency now lies between $[k_0-\Delta_k, k_0+\Delta_k]$ with $k_0 = k_{geo} = 10$ and $\Delta_k=k_0/5 = 2$. The segment $[8,12]$ is sampled by $64$ frequencies and here is the result (on left the real part of the back propagated field, and on the right, its absolute value):

Real part of the back propagated field in a homogeneous medium (polychromatic wave)Absolute value of the back propagated field in a homogeneous medium (polychromatic wave)

Heterogeneous medium

The same geometry is used again but with arround 350 circular obstacles placed between the source and the mirror. They are all of radius $\lambda_{geo}/5$ and placed in a box between the source and the TRM. The results are the following, first for a monochromatic wave:

Geometry and ONELAB interface for heterogeneous medium Real part of the back propagated field Absolute value of the back propagated field

And second, for a polychromatic wave (same parameters as for the homogeneous medium). The focal spot is clearly sharper for the heterogeneous medium (on the left the real part of the back propagated field, and on the right, its absolute value):

Real part of the back propagated field in a heterogeneous medium (polychromatic wave) Real part of the back propagated field in a heterogeneous medium (polychromatic wave)

References

  1. 1.0 1.1 B. Thierry, Analyse et Simulations Numériques du Retournement Temporel et de la Diffraction Multiple, PhD. Thesis, Université de Nancy, France, 2011, http://tel.archives-ouvertes.fr/tel-00651312/
  2. M. Fink and C. Prada. Acoustic time-reversal mirrors. Inverse Problems, 17(1) :1761–1773, 2001.

Model developed by B. Thierry.