Target detection using sparsity based deconvolution in passive bistatic radars
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Institute of Electrical and Electronics Engineers Inc.
343 - 346
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We introduce a sparsity based deconvolution scheme to improve the range resolution of passive bistatic radar (PBR) systems. The two-dimensional matched filter output of a PBR system is further analyzed as a deconvolution problem. The deconvolution algorithm is based on making projections onto hyperplanes representing the time delay of a target and the epigraph set of a convex cost function such as the l<inf>1</inf> norm. The iterative algorithm is globally convergent because all constraint sets are closed and convex. Simulation results in a FM based PBR system are presented. The proposed method performs better than frequency domain deconvolution methods. © 2015 IEEE.
Frequency domain analysis
Convex cost function
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2015.7129829
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