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

Caiyong Lin; Dinghe Wang; Ruiqi Tian; Qinglong Bao; Zengping Chen

doi:10.1117/1.JRS.9.095038

21 December 2015 Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator

Caiyong Lin, Dinghe Wang, Ruiqi Tian, Qinglong Bao, Zengping Chen

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 095038 (December 2015). https://doi.org/10.1117/1.JRS.9.095038

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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Caiyong Lin, Dinghe Wang, Ruiqi Tian, Qinglong Bao, and Zengping Chen "Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator," Journal of Applied Remote Sensing 9(1), 095038 (21 December 2015). https://doi.org/10.1117/1.JRS.9.095038

Published: 21 December 2015

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