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一种基于轨迹优化的网络化移动雷达抗距离欺骗干扰方法。

An Anti-Range-Deception-Jamming Method for Networked Moving Radar Based on Trajectory Optimization.

作者信息

Han Xiaofei, He Huafeng, He Chuan, Zhang Qi, Wang Liyuan, Zhou Tao, Zhang Xin

机构信息

Department of Control Engineering, Rocket Force University of Engineering, Xi'an 710025, China.

出版信息

Sensors (Basel). 2025 Jul 29;25(15):4675. doi: 10.3390/s25154675.

DOI:10.3390/s25154675
PMID:40807840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349544/
Abstract

Aiming at the problem that the anti-range-deception-jamming effect of a networked moving radar system is severely affected by the spatial distribution of each radar, an anti-range-deception-jamming method for networked moving radar based on trajectory optimization is proposed. Firstly, the anti-jamming method of networked moving radar considering the radar position error (RPE) is proposed. Then, the theoretical expression for the false target (FT) misjudgment probability of networked moving radar is deduced. Based on the theoretical expression, a trajectory optimization model is formulated to minimize FT misjudgment probability. Simulation experiments validate both the correctness of the derived probability expression and the significant influence of the radar spatial distribution position on the FT misjudgment probability. Moreover, the simulation results verify that the proposed anti-jamming method can effectively reduce the FT misjudgment probability of networked moving radar under the condition of a high discrimination probability of the physical target (PT).

摘要

针对网络化移动雷达系统的抗距离欺骗干扰效果受各雷达空间分布影响严重的问题，提出一种基于轨迹优化的网络化移动雷达抗距离欺骗干扰方法。首先，提出考虑雷达位置误差（RPE）的网络化移动雷达抗干扰方法。然后，推导网络化移动雷达虚假目标（FT）误判概率的理论表达式。基于该理论表达式，建立轨迹优化模型以最小化FT误判概率。仿真实验验证了所推导概率表达式的正确性以及雷达空间分布位置对FT误判概率的显著影响。此外，仿真结果验证了所提出的抗干扰方法在物理目标（PT）高分辨概率条件下能有效降低网络化移动雷达的FT误判概率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/05574ba65599/sensors-25-04675-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/d77b0468514a/sensors-25-04675-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/73bda73e3fae/sensors-25-04675-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/2584fba288c5/sensors-25-04675-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/05574ba65599/sensors-25-04675-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/21dffc6eb70c/sensors-25-04675-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/65ca9b433c7c/sensors-25-04675-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/44bbcb4328ad/sensors-25-04675-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/84127b3863ed/sensors-25-04675-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/045550c82636/sensors-25-04675-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/1bbeba916e20/sensors-25-04675-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/f6285e563d4f/sensors-25-04675-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/e23bfc0839de/sensors-25-04675-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/d77b0468514a/sensors-25-04675-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/73bda73e3fae/sensors-25-04675-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/2584fba288c5/sensors-25-04675-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0152/12349544/05574ba65599/sensors-25-04675-g007.jpg

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本文引用的文献

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2
Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming.基于协方差矩阵重构的FDA-MIMO雷达稳健波束形成以抑制欺骗性干扰
Sensors (Basel). 2022 Feb 14;22(4):1479. doi: 10.3390/s22041479.