Passive Array Imaging in Random Media
Open Access
- 18 June 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computational Imaging
- Vol. 4 (3) , 459-469
Abstract
We present a novel algorithm for high resolution coherent imaging of sound sources in random scattering media using time resolved measurements of the acoustic pressure at an array of receivers. The sound waves travel a long distance between the sources and receivers so that they are significantly affected by scattering in the random medium. We model the scattering effects by large random wavefront distortions, but the results extend to stronger effects, as long as the waves retain some coherence i.e., before the onset of wave diffusion. It is known that scattering in random media can be mitigated in imaging using coherent interferometry (CINT). This method introduces a statistical stabilization in the image formation, at the cost of image blur. We show how to modify the CINT method in order to image wave sources that are too close to each other to be distinguished by CINT alone. We introduce the algorithm from first principles and demonstrate its performance with numerical simulations.Keywords
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This publication has 24 references indexed in Scilit:
- Wideband passive source localizationInverse Problems, 2017
- Robust imaging of localized scatterers using the singular value decomposition and ℓ 1 minimizationInverse Problems, 2013
- Localization from Incomplete Noisy Distance MeasurementsFoundations of Computational Mathematics, 2012
- Enhanced statistical stability in coherent interferometric imagingInverse Problems, 2011
- Thermoacoustic tomography arising in brain imagingInverse Problems, 2011
- Exact and Approximate Solutions of Source Localization ProblemsIEEE Transactions on Signal Processing, 2008
- Adaptive interferometric imaging in clutter and optimal illuminationInverse Problems, 2006
- Feature extraction algorithm for 3D scene modeling and visualization using monostatic SAR2006
- Chapter 4 Nonuniform Random Variate Generation2006
- A sparse signal reconstruction perspective for source localization with sensor arraysIEEE Transactions on Signal Processing, 2005