Ieee Transactions on Aerospace and Electronic Systems Parametric Dictionary Learning for Sparsity-based Twri in Multipath Environments Ieee Transactions on Aerospace and Electronic Systems 2

Sparsity-based multipath exploitation is a promising method to eliminate ghost targets in through-the-wall radar images and utilize the additional energy in secondary reflections. The applicability of existing methods, however, is limited due to the assumption of perfectly known geometry of building interiors. We develop a parametrized multipath signal model that captures unknown or partially known wall locations. This model is used in the proposed joint image reconstruction and wall position estimation method. In order to further improve practicability in realistic scenarios, a reconstruction method based on deployment of multiple small aperture radar modules is discussed. To this end, we analyze theoretical performance bounds for colocated and distributed placements of the various modules. Supporting results based on simulated and experimental lab data are provided.

[1]  Xiaotao Huang,et al.  Compressed Sensing Radar Imaging With Compensation of Observation Position Error , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Moeness G. Amin,et al.  Partially sparse reconstruction of behind-the-wall scenes , 2012, Defense + Commercial Sensing.

[3]  Müjdat Çetin,et al.  A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction , 2012, IEEE Transactions on Image Processing.

[4]  Abdelhak M. Zoubir,et al.  Compressive sensing based specular multipath exploitation for through-the-wall radar imaging , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  S. Kassam,et al.  Synthetic aperture beamformer for imaging through a dielectric wall , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Michael Werman,et al.  Fast and robust Earth Mover's Distances , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[7]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[8]  Moeness G. Amin,et al.  Multi-location wideband synthetic aperture imaging for urban sensing applications , 2008, J. Frankl. Inst..

[9]  Moeness G. Amin,et al.  Multipath Model and Exploitation in Through-the-Wall and Urban Radar Sensing , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Qing Huo Liu,et al.  Through-wall imaging (TWI) by radar: 2-D tomographic results and analyses , 2005, IEEE Trans. Geosci. Remote. Sens..

[11]  H. Vincent Poor,et al.  CSSF MIMO RADAR: Compressive-Sensing and Step-Frequency Based MIMO Radar , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Hao Ling,et al.  Simulation and Analysis of Human Micro-Dopplers in Through-Wall Environments , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Emre Ertin,et al.  Sparsity and Compressed Sensing in Radar Imaging , 2010, Proceedings of the IEEE.

[14]  F. Soldovieri,et al.  RF/Microwave Imaging of Sparse Targets in Urban Areas , 2013, IEEE Antennas and Wireless Propagation Letters.

[15]  Francesco Soldovieri,et al.  Validation of Microwave Tomographic Inverse Scattering Approach via Through-the-Wall Experiments in Semicontrolled Conditions , 2011, IEEE Geoscience and Remote Sensing Letters.

[16]  Ram M. Narayanan,et al.  A Portable Real-Time Digital Noise Radar System for Through-the-Wall Imaging , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[17]  R. J. Burkholder,et al.  Electromagnetic models for exploiting multi-path propagation in through-wall radar imaging , 2009, 2009 International Conference on Electromagnetics in Advanced Applications.

[18]  Ali Cafer Gürbüz,et al.  Compressive sensing for subsurface imaging using ground penetrating radar , 2009, Signal Process..

[19]  Xiaoling Zhang,et al.  An autofocus approach for model error correction in compressed sensing SAR imaging , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[20]  Athina P. Petropulu,et al.  Efficient target estimation in distributed MIMO radar via the ADMM , 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

[21]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[22]  Moeness G. Amin,et al.  Determining building interior structures using compressive sensing , 2013, J. Electronic Imaging.

[23]  Stephen J. Wright,et al.  Sparse Reconstruction by Separable Approximation , 2008, IEEE Transactions on Signal Processing.

[24]  Yonina C. Eldar,et al.  Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.

[25]  Calvin Le,et al.  SAR Images of Rooms and Buildings Based on FDTD Computer Models , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Gianluca Gennarelli,et al.  A Linear Inverse Scattering Algorithm for Radar Imaging in Multipath Environments , 2013, IEEE Geoscience and Remote Sensing Letters.

[27]  Moeness G. Amin,et al.  Compressive sensing for urban radar , 2014 .

[28]  Takuya Sakamoto,et al.  Extended Imaging Algorithm Based on Aperture Synthesis With Double-Scattered Waves for UWB Radars , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[30]  Moeness G. Amin,et al.  Wall clutter mitigation for MIMO radar configurations in urban sensing , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

[31]  Kamal Sarabandi,et al.  Refocusing Through Building Walls Using Synthetic Aperture Radar , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Jiang Qian,et al.  Wall Clutter Mitigation Using Discrete Prolate Spheroidal Sequences for Sparse Reconstruction of Indoor Stationary Scenes , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Moeness G. Amin,et al.  Joint Wall Mitigation and Compressive Sensing for Indoor Image Reconstruction , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[34]  Abdelhak M. Zoubir,et al.  CS based specular multipath exploitation in TWRI under wall position uncertainties , 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[35]  Joel A. Tropp,et al.  Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.

[36]  Abdelhak M. Zoubir,et al.  Multipath exploitation in through-the-wall radar imaging using sparse reconstruction , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[37]  Michael Elad,et al.  Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[38]  E.J. Baranoski.  VisiBuilding: Sensing through Walls , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[39]  Moeness G. Amin,et al.  Through-the-Wall Human Motion Indication Using Sparsity-Driven Change Detection , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[40]  M. Amin.  Through-the-Wall Radar Imaging , 2011 .

[41]  Jiang Qian,et al.  Joint localization of stationary and moving targets behind walls using sparse scene recovery , 2013, J. Electronic Imaging.

[42]  Volkan Cevher,et al.  Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.