Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach
Proceedings of SPIE - The International Society for Optical Engineering
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One of the main disadvantages of using commercial broadcasts in a Passive Bistatic Radar (PBR) system is the range resolution. Using multiple broadcast channels to improve the radar performance is offered as a solution to this problem. However, it suffers from detection performance due to the side-lobes that matched filter creates for using multiple channels. In this article, we introduce a deconvolution algorithm to suppress the side-lobes. The two-dimensional matched filter output of a PBR is further analyzed as a deconvolution problem. The deconvolution algorithm is based on making successive projections onto the hyperplanes representing the time delay of a target. Resulting iterative deconvolution algorithm is globally convergent because all constraint sets are closed and convex. Simulation results in an FM based PBR system are presented. © 2015 SPIE.
Passive bistatic radar
Iterative deconvolution algorithms
Multiple broadcast channels
Published Version (Please cite this version)http://dx.doi.org/10.1117/12.2176067
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