Share Email Print
cover

Proceedings Paper

Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach
Author(s): Musa Tunç Arslan; Mohammad Tofighi; Rasim Akın Sevimli; Ahmet Enis Çetin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 9 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947414 (21 May 2015); doi: 10.1117/12.2176067
Show Author Affiliations
Musa Tunç Arslan, Bilkent Univ. (Turkey)
Mohammad Tofighi, Bilkent Univ. (Turkey)
Rasim Akın Sevimli, Bilkent Univ. (Turkey)
Ahmet Enis Çetin, Bilkent Univ. (Turkey)


Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)

© SPIE. Terms of Use
Back to Top