Arslan, Musa TunçTofighi, MuhammadSevimli, Rasim AkınÇetin, A. Enis2016-02-082016-02-0820150277-786Xhttp://hdl.handle.net/11693/28274Date of Conference: 20-24 April 2015Conference Name: SPIE Defense and Security Symposium, 2015One 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.EnglishDeconvolutionPassive bistatic radarRange resolutionAlgorithmsIterative methodsMatched filtersPattern matchingRadarSignal processingTime delayBistatic radarsDeconvolution algorithmDeconvolution problemDetection performanceIterative deconvolution algorithmsLeast-squares approachMultiple broadcast channelsConference Paper10.1117/12.2176067