IPI
Ambient noise correlation-based imaging with moving sensors
Mathias Fink Josselin Garnier
Inverse Problems & Imaging 2017, 11(3): 477-500 doi: 10.3934/ipi.2017022

Waves can be used to probe and image an unknown medium. Passive imaging uses ambient noise sources to illuminate the medium. This paper considers passive imaging with moving sensors. The motivation is to generate large synthetic apertures, which should result in enhanced resolution. However Doppler effects and lack of reciprocity significantly affect the imaging process. This paper discusses the consequences in terms of resolution and it shows how to design appropriate imaging functions depending on the sensor trajectory and velocity.

keywords: Passive sensor imaging correlation-based imaging ambient noise sources moving sensors
IPI
Resolution enhancement from scattering in passive sensor imaging with cross correlations
Josselin Garnier George Papanicolaou
Inverse Problems & Imaging 2014, 8(3): 645-683 doi: 10.3934/ipi.2014.8.645
It was shown in [Garnier et al., SIAM J. Imaging Sciences 2 (2009), 396] that it is possible to image reflectors by backpropagating cross correlations of signals generated by ambient noise sources and recorded at passive sensor arrays. The resolution of the image depends on the directional diversity of the noise signals relative to the locations of the sensor array and the reflector. When directional diversity is limited it is possible to enhance it by exploiting the scattering properties of the medium since scatterers will act as secondary noise sources. However, scattering increases the fluctuation level of the cross correlations and therefore tends to destabilize the image by reducing its signal-to-noise ratio. In this paper we study the trade-off in passive, correlation-based imaging between resolution enhancement and signal-to-noise ratio reduction that is due to scattering.
keywords: ambient noise sources Passive sensor imaging scattering media.
IPI
Filtered Kirchhoff migration of cross correlations of ambient noise signals
Josselin Garnier Knut Solna
Inverse Problems & Imaging 2011, 5(2): 371-390 doi: 10.3934/ipi.2011.5.371
In this paper we study passive sensor imaging with ambient noise sources by suitably migrating cross correlations of the recorded signals. We propose and study different imaging functionals. A new functional is introduced that is an inverse Radon transform applied to a special function of the cross correlation matrix. We analyze the properties of the new imaging functional in the high-frequency regime which shows that it produces sharper images than the usual Kirchhoff migration functional. Numerical simulations confirm the theoretical predictions.
keywords: noise sources Passive sensor imaging cross correlation.
DCDS-B
Optimal transmission through a randomly perturbed waveguide in the localization regime
Josselin Garnier
Discrete & Continuous Dynamical Systems - B 2011, 15(3): 597-621 doi: 10.3934/dcdsb.2011.15.597
We demonstrate that increased power transmission through a random single-mode or multi-mode channel can be obtained in the localization regime by optimizing the spatial wave front or the time pulse profile of the source. The idea is to select and excite the few modes or the few frequencies whose transmission coefficients are anomalously large compared to the typical exponentially small value. We prove that time reversal is optimal for maximizing the transmitted intensity at a given time or space, while iterated time reversal is optimal for maximizing the total transmitted energy. The statistical stability of the optimal transmitted intensity and energy is also obtained.
keywords: random media Wave propagation asymptotic analysis.
IPI
Ghost imaging in the random paraxial regime
Josselin Garnier
Inverse Problems & Imaging 2016, 10(2): 409-432 doi: 10.3934/ipi.2016006
In this paper we analyze a wave-based imaging modality called ghost imaging that can produce an image of an object illuminated by a partially coherent source. The image of the object is obtained by correlating the intensities measured by two detectors, one that does not view the object and another one that does view the object. More exactly, a high-resolution detector measures the intensity of a wave field emitted by a partially coherent source which has not interacted with the object to be imaged. A bucket (or single-pixel) detector collects the total (spatially-integrated) intensity of the wave field emitted by the same source that has interacted with the object. The correlation of the intensity measured at the high-resolution detector with the intensity measured by the bucket detector gives an image of the object. In this paper we analyze this imaging modality when the medium through which the waves propagate is random. We discuss the relation with time reversal focusing and with correlation-based imaging using ambient noise sources. We clarify the role of the partial coherence of the source and we study how scattering affects the resolution properties of the ghost imaging function in the paraxial regime: the image resolution is all the better as the source is less coherent, and all the worse as the medium is more scattering.
keywords: Passive sensor imaging ambient noise sources scattering media ghost imaging.
DCDS-B
The role of evanescent modes in randomly perturbed single-mode waveguides
Josselin Garnier
Discrete & Continuous Dynamical Systems - B 2007, 8(2): 455-472 doi: 10.3934/dcdsb.2007.8.455
Pulse propagation in randomly perturbed single-mode waveguides is considered. By an asymptotic analysis the pulse front propagation is reduced to an effective equation with diffusion and dispersion. Apart from a random time shift due to a random total travel time, two main phenomena can be distinguished. First, coupling and energy conversion between forward- and backward-propagating modes is responsible for an effective diffusion of the pulse front. This attenuation and spreading is somewhat similar to the one-dimensional case addressed by the O'Doherty-Anstey theory. Second, coupling between the forward-propagating mode and the evanescent modes results in an effective dispersion. In the case of small-scale random fluctuations we show that the second mechanism is dominant.
keywords: Acoustic waves random media asymptotic theory.
DCDS-S
Detection, reconstruction, and characterization algorithms from noisy data in multistatic wave imaging
Habib Ammari Josselin Garnier Vincent Jugnon
Discrete & Continuous Dynamical Systems - S 2015, 8(3): 389-417 doi: 10.3934/dcdss.2015.8.389
The detection, localization, and characterization of a collection of targets embedded in a medium is an important problem in multistatic wave imaging. The responses between each pair of source and receiver are collected and assembled in the form of a response matrix, known as the multi-static response matrix. When the data are corrupted by measurement or instrument noise, the structure of the response matrix is studied by using random matrix theory. It is shown how the targets can be efficiently detected, localized and characterized. Both the case of a collection of point reflectors in which the singular vectors have all the same form and the case of small-volume electromagnetic inclusions in which the singular vectors may have different forms depending on their magnetic or dielectric type are addressed.
keywords: random matrices detection and reconstruction algorithms Multistatic wave imaging noisy data Helmholtz equation. measurement noise
DCDS-B
Mean field model for collective motion bistability
Josselin Garnier George Papanicolaou Tzu-Wei Yang
Discrete & Continuous Dynamical Systems - B 2017, 22(11): 1-29 doi: 10.3934/dcdsb.2018210

We consider the Czirók model for collective motion of locusts along a one-dimensional torus. In the model, each agent's velocity locally interacts with other agents' velocities in the system, and there is also exogenous randomness to each agent's velocity. The interaction tends to create the alignment of collectivemotion. By analyzing the associated nonlinear Fokker-Planck equation, we obtain the condition for the existence of stationary order states and the conditions for their linear stability. These conditions depend on the noise level, which should be strong enough, and on the interaction between the agent's velocities, which should be neither too small, nor too strong. We carry out the fluctuation analysis of the interacting system and describe the large deviation principle to calculate the transition probability from one order state to the other. Numerical simulations confirm our analytical findings.

keywords: Czirók model collective motion mean field interacting random processes

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