Paper
21 May 2015 Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach
Musa Tunç Arslan, Mohammad Tofighi, Rasim Akın Sevimli, Ahmet Enis Çetin
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Abstract
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Musa Tunç Arslan, Mohammad Tofighi, Rasim Akın Sevimli, and Ahmet Enis Çetin "Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947414 (21 May 2015); https://doi.org/10.1117/12.2176067
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Cited by 1 scholarly publication.
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KEYWORDS
Frequency modulation

Fermium

Deconvolution

Radar

Detection and tracking algorithms

Target detection

Doppler effect

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