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RIS-Assisted Passive Radar Signal Processing Algorithm for Enhanced Echo Signal-to-Noise Ratio
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Zhixin ZHAO, Zhouzhang LI, Yingyun LIN, Yuanshuai CHEN
Radar Science and Technology | 2025, 23(5) : 529 - 539
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Radar Science and Technology | 2025, 23(5): 529-539
RIS-Assisted Passive Radar Signal Processing Algorithm for Enhanced Echo Signal-to-Noise Ratio
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Zhixin ZHAO, Zhouzhang LI, Yingyun LIN, Yuanshuai CHEN
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  • School of Information Engineering, Nanchang University, Nanchang 330031, China
doi: 10.3969/j.issn.1672-2337.2025.05.007
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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.

passive radar  /  reconfigurable intelligent surface（RIS）  /  target multi-parameter estimation  /  sparse reconstruction
Zhixin ZHAO, Zhouzhang LI, Yingyun LIN, Yuanshuai CHEN. RIS-Assisted Passive Radar Signal Processing Algorithm for Enhanced Echo Signal-to-Noise Ratio[J]. Radar Science and Technology, 2025 , 23 (5) : 529 -539 . DOI: 10.3969/j.issn.1672-2337.2025.05.007
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doi: 10.3969/j.issn.1672-2337.2025.05.007
  • Receive Date：2025-01-27
  • Online Date：2026-04-23
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  • Received：2025-01-27
  • Revised：2025-04-19
Affiliations
    School of Information Engineering, Nanchang University, Nanchang 330031, China
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