Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach

Date
2015
Advisor
Instructor
Source Title
Proceedings of SPIE Vol. 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Print ISSN
0277-786X
Electronic ISSN
Publisher
SPIE
Volume
9474
Issue
Pages
1 - 9
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.

Course
Other identifiers
Book Title
Keywords
Deconvolution, Passive bistatic radar, Range resolution, Algorithms, Iterative methods, Matched filters, Pattern matching, Radar, Signal processing, Time delay, Bistatic radars, Deconvolution algorithm, Deconvolution problem, Detection performance, Iterative deconvolution algorithms, Least-squares approach, Multiple broadcast channels
Citation
Published Version (Please cite this version)