Image and Signal Processing Methods

Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator

[+] Author Affiliations
Caiyong Lin, Dinghe Wang, Ruiqi Tian, Qinglong Bao, Zengping Chen

National University of Defense Technology, Science and Technology on Automatic Target Recognition Laboratory, No. 109 Deya Road, Changsha, Hunan 410073, China

J. Appl. Remote Sens. 9(1), 095038 (Dec 21, 2015). doi:10.1117/1.JRS.9.095038
History: Received July 14, 2015; Accepted November 20, 2015
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Abstract.  As most illuminators of opportunity are relatively narrowband and of low-frequency, passive bistatic radar (PBR) is so weak in target discrimination that it can hardly distinguish adjacent aircraft or ships. To solve this problem, we propose a matched filter-based method. This method uses the bistatic range of the target to construct the corresponding filter groups and then produces a two-dimensional image by correlating the echo signals. We finally convert the target discrimination problem to distinguish the peaks in the image. The proposed method overcomes the target discrimination problem for PBR using the narrowband and low-frequency illuminator. Simulation results indicate the effectiveness and validity of the proposed method in distinguishing adjacent targets.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Caiyong Lin ; Dinghe Wang ; Ruiqi Tian ; Qinglong Bao and Zengping Chen
"Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator", J. Appl. Remote Sens. 9(1), 095038 (Dec 21, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095038


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