NLOS Targets Imaging with UWB Radar

This paper addresses a target imaging method for non-line-of-sight (NLOS) target shielded by surrounding in the L-junction scenario, exploiting ultra wideband (UWB) multiple-input multiple-output (MIMO) radar. We analyze the electromagnetic wave diffraction and reflection propagation in the L-junction scenario and establish the echo model. An NLOS target imaging method based on multipath exploitation of the diffraction and first-order reflection is proposed. Moreover, we also present a multiplication fusion method to suppress the high-order multipath ghosts. Finally, simulation results validate the validity of the multipath-exploitation-based target imaging method.

[1]  Ying Li,et al.  Multipath exploitationwith adaptivewaveform design for tracking in urban terrain , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Jonathan Bosse,et al.  GLRT Particle Filter for Tracking Nlos Target in Around-the-Corner Radar , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[3]  Lingjiang Kong,et al.  Multipath Analysis and Exploitation for MIMO Through-the-Wall Imaging Radar , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[4]  Patrick Cabrol,et al.  Measurement and Characterization of Various Outdoor 60 GHz Diffracted and Scattered Paths , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.

[5]  Craig Warren,et al.  An advanced GPR modelling framework: The next generation of gprMax , 2015, 2015 8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).

[6]  Joseph R. Guerci,et al.  Knowledge-aided processing for multipath exploitation radar (MER) , 2017, IEEE Aerospace and Electronic Systems Magazine.

[7]  Jonathan Bosse,et al.  Detection–Localization Algorithms in the Around-the-Corner Radar Problem , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Xiaotao Huang,et al.  Multistatic radars locating a human being behind corners based on the method of mirror localization , 2016, ICSPS 2016.

[9]  Cornel Ioana,et al.  An MIMO-MTI approach for through-the-wall radar imaging applications , 2010, 2010 International Waveform Diversity and Design Conference.

[10]  Natasha Devroye,et al.  Multipath Exploitation in Non-LOS Urban Synthetic Aperture Radar , 2014, IEEE Journal of Selected Topics in Signal Processing.

[11]  D. Poullin,et al.  Around-the-corner radar: detection of a human being in non-line of sight , 2015 .

[12]  Stefan Nilsson,et al.  Radar Detection of Moving Targets Behind Corners , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Jianyu Yang,et al.  A Back-projection algorithm to stepped-frequency synthetic aperture through-the-wall radar imaging , 2007, 2007 1st Asian and Pacific Conference on Synthetic Aperture Radar.

[14]  W. L. van Rossum,et al.  Multipath exploitation in an urban environment using a MIMO surveillance radar , 2010, 11-th INTERNATIONAL RADAR SYMPOSIUM.

[15]  Lingjiang Kong,et al.  Robust Human Targets Tracking for MIMO Through-Wall Radar via Multi-Algorithm Fusion , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[16]  John Schindler,et al.  Multistatic scattering from moving targets in multipath environments , 2009, 2009 IEEE Radar Conference.