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Signal fusion research in passive radar based on polarization diversity technology

Published online by Cambridge University Press:  24 February 2022

Yucheng Yi Open the ORCID record for Yucheng Yi [Opens in a new window] ,
Lu Zhu  and
Xiaomao Cao
Yucheng Yi*
Affiliation:
School of Information Engineering, East China Jiao Tong University, Nanchang, Jiangxi, China
Lu Zhu*
Affiliation:
School of Information Engineering, East China Jiao Tong University, Nanchang, Jiangxi, China
Xiaomao Cao
Affiliation:
School of Electronic Information, Wuhan University, Wuhan, Hubei, China
*
Authors for correspondence: Yucheng Yi, E-mail: ycyi@ecjtu.edu.cn; Lu Zhu, E-mail: lzhu@ecjtu.edu.cn
Authors for correspondence: Yucheng Yi, E-mail: ycyi@ecjtu.edu.cn; Lu Zhu, E-mail: lzhu@ecjtu.edu.cn
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Abstract

Polarization diversity technology is an effective method to improve the detection performance of passive radar systems, but the related papers mainly conduct research on the polarization diversity in interference suppression, and there are few studies focusing on the polarization characteristics of the target itself. The work in this paper is divided into two parts. The first part is going to investigate the potential benefits of signal fusion in target polarization-scattering characteristic. The analysis results show that the cross-polarized component of the target scattered echo is not always weaker than the co-polarized component, and the polarization amplitude ratio value is mostly concentrated near 1. This indicates that polarization signal fusion will likely improve target detection performance. The other part introduces a polarization signal fusion method based on the non-coherent integration (P-NCI), but this method is susceptible to the influence of the difference in the signal-to-noise ratio (SNR) of the signal of each polarization channel, resulting in a reduction in the SNR of the fusion signal. The polarization signal fusion method based on adaptive weighting (AW-PSF) can effectively improve the robustness of signal fusion. The experimental results show that AW-PSF has better detection performance compared with single-polarization channel and P-NCI.

Keywords

Passive radarpolarization amplitude ratiopolarization diversitypolarization signal fusion based on adaptive weighting
Type
Radar
Information
International Journal of Microwave and Wireless Technologies , Volume 15 , Issue 3 , April 2023 , pp. 410 - 423
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press in association with the European Microwave Association

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