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Journal of Applied Remote Sensing

Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator
Author(s): Caiyong Lin; Dinghe Wang; Ruiqi Tian; Qinglong Bao; Zengping Chen
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Paper 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.

Paper Details

Date Published: 21 December 2015
PDF: 15 pages
J. Appl. Remote Sens. 9(1) 095038 doi: 10.1117/1.JRS.9.095038
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Caiyong Lin, National Univ. of Defense Technology (China)
Dinghe Wang, National Univ. of Defense Technology (China)
Ruiqi Tian, National Univ. of Defense Technology (China)
Qinglong Bao, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


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