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可增强回波信噪比的RIS辅助外辐射源雷达信号处理算法

赵志欣 李周章 林应运 陈远帅

雷达科学与技术2025,Vol.23Issue(5):529-539,550,12.
雷达科学与技术2025,Vol.23Issue(5):529-539,550,12.DOI:10.3969/j.issn.1672-2337.2025.05.007

可增强回波信噪比的RIS辅助外辐射源雷达信号处理算法

RIS-Assisted Passive Radar Signal Processing Algorithm for Enhanced Echo Signal-to-Noise Ratio

赵志欣 1李周章 1林应运 1陈远帅1

作者信息

  • 1. 南昌大学信息工程学院,江西 南昌 330031
  • 折叠

摘要

Abstract

Aiming at the challenges of low target signal-to-noise ratio(SNR),susceptibility to direct wave and multipath interference,and other target detection problems arising from the use of non-cooperative illumination sources,this paper studies the reconfigurable intelligent surface(RIS)-assisted passive radar system which can enhance the echo SNR and the corresponding target parameter estimation method.On the basis of analyzing and establishing the RIS-assisted passive radar system and signal model,firstly,the RIS configuration within the passive radar framework is explored.The RIS reflection coefficient optimization problem is established to improve the signal-to-clutter-plus-noise ratio(SCNR)of the received signal and ensure the direct wave receiving power.The global optimal solution of the RIS reflection coefficient is deduced theoretically,and the problem of weak target detection is solved fundamentally.Then,the signal processing method for RIS-assisted passive radar is investigated,and a multi-parameter estimation method based on time-varying RIS and sparse reconstruction is proposed,which can estimate the target parameters such as time delay,velocity,and azimuth simultaneously.Experimental results demonstrate the effectiveness and superiority of the proposed method.

关键词

外辐射源雷达/可重构智能表面/目标多参数估计/稀疏重构

Key words

passive radar/reconfigurable intelligent surface(RIS)/target multi-parameter estimation/sparse reconstruction

分类

电子信息工程

引用本文复制引用

赵志欣,李周章,林应运,陈远帅..可增强回波信噪比的RIS辅助外辐射源雷达信号处理算法[J].雷达科学与技术,2025,23(5):529-539,550,12.

基金项目

国家自然科学基金(No.62261036) (No.62261036)

江西省自然科学基金(No.2022BAB202003) (No.2022BAB202003)

雷达科学与技术

OA北大核心

1672-2337

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