CS based wall ringing and reverberation mitigation for through-the-wall radar imaging

Wall ringing and reverberation pose a challenging problem for through-the-wall radar image formation algorithms. We propose a novel method based on compressive sensing (CS) that enables high reconstruction quality combined with efficient data collection. A joint wall reverberation and target model is developed and the reconstructed scene is obtained based on a group sparse CS approach. Thus, the wall returns can be separated from the target returns resulting in a clean image. We demonstrate the performance using simulation results.

[1]  Edward J. Baranoski,et al.  Through wall imaging: Historical perspective and future directions , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Abdesselam Bouzerdoum,et al.  An SVD-based approach for mitigating wall reflections in through-the-wall radar imaging , 2011, 2011 IEEE RadarCon (RADAR).

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

[4]  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.

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

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

[7]  Moeness G. Amin,et al.  Spatial Filtering for Wall-Clutter Mitigation in Through-the-Wall Radar Imaging , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Stephen P. Boyd,et al.  An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.

[9]  A. Zoubir,et al.  Through-the-Wall Radar Imaging , 2010 .

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

[11]  F. Ahmad,et al.  Wideband synthetic aperture beamforming for through-the-wall imaging [Lecture Notes] , 2008, IEEE Signal Processing Magazine.

[12]  Moeness G. Amin,et al.  Compressive sensing for through-the-wall radar imaging , 2013, J. Electronic Imaging.

[13]  T. Dogaru,et al.  Measured Complex Permittivity of Walls with Different Hydration Levels and the Effect on Power Estimation of Twri Target Returns , 2011 .

[14]  George Koutitas,et al.  Transmission and Reflection Coefficients in Time-Domain for a Dielectric Slab for UWB Signals , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

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

[16]  C. Thajudeen,et al.  Estimation of frequency-dependent parameters of unknown walls for enhanced through-the-wall imaging , 2011, 2011 IEEE International Symposium on Antennas and Propagation (APSURSI).

[17]  Moeness G. Amin,et al.  Compressed sensing technique for high-resolution radar imaging , 2008, SPIE Defense + Commercial Sensing.

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

[19]  Ali Cafer Gürbüz,et al.  A Compressive Sensing Data Acquisition and Imaging Method for Stepped Frequency GPRs , 2009, IEEE Transactions on Signal Processing.