Radar Specific Emitter Identification Method Under Multipath Conditions

LIU Zhao; MA Shuang; ZHANG Meng-jie; LIU Zheng

doi:10.12263/DZXB.20220990

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Radar Specific Emitter Identification Method Under Multipath Conditions

PAPERS | 更新时间：2025-12-08

- Radar Specific Emitter Identification Method Under Multipath Conditions
- ACTA ELECTRONICA SINICA Vol. 51, Issue 6, Pages: 1654-1665(2023)
- 作者机构：
  
  1.国防科技大学电子信息系统复杂电磁环境效应国家重点实验室，湖南长沙 410073
  2.北京市遥感信息研究所，北京 100011
  3.国防科技大学认知通信实验室，湖南长沙 410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(62101563);Research Project of National University of Defense Technology(ZK20-26)
- DOI：10.12263/DZXB.20220990
  CLC： TN974;
- Received：26 August 2022，
  
  Revised：2022-11-29，
  
  Published：25 June 2023
- 稿件说明：
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刘钊,马爽,张梦杰等.多径条件下的雷达辐射源个体识别方法[J].电子学报,2023,51(06):1654-1665.

LIU Zhao,MA Shuang,ZHANG Meng-jie,et al.Radar Specific Emitter Identification Method Under Multipath Conditions[J].ACTA ELECTRONICA SINICA,2023,51(06):1654-1665.
刘钊,马爽,张梦杰等.多径条件下的雷达辐射源个体识别方法[J].电子学报,2023,51(06):1654-1665. DOI： 10.12263/DZXB.20220990.

LIU Zhao,MA Shuang,ZHANG Meng-jie,et al.Radar Specific Emitter Identification Method Under Multipath Conditions[J].ACTA ELECTRONICA SINICA,2023,51(06):1654-1665. DOI： 10.12263/DZXB.20220990.

摘要

在实际场景中，接收机截获的雷达脉冲信号信噪比较低、多径干扰明显，从中提取的辐射源指纹特征存在畸变，给雷达辐射源个体识别带来严峻挑战.针对该问题，本文提出一种两阶段的信号处理方法.在第一阶段，以精确的脉冲对齐和迭代加权积累提高信号质量，解决低信噪比问题.在第二阶段，定义信号频谱相邻点前向商的绝对值为谱邻点商，并提取信号频谱主瓣和第一旁瓣对应的谱邻点商作为抗多径的指纹特征，解决多径干扰问题，同时利用Chirp-Z变换的局部精细化谱分析能力，进一步提高本文方法的计算精度和速度.仿真实验表明本文方法在脉冲对齐和克服多径干扰方面表现突出.实测数据实验对截获自15部同型号雷达的单频脉冲信号进行分类识别，获得超过97%的识别准确率，证明本文方法对多径条件下的雷达辐射源个体识别实际应用具有重要参考价值.

Abstract

In the actual scenario

the radar pulse signal intercepted by the receiver has low signal-to-noise (SNR) ratio and obvious multipath interference

and the fingerprint features of the radiation source extracted from it have distortion

which brings serious challenges to the radar specific emitter identification. To address this problem

a two-stage signal processing method is proposed in this paper. In the first stage

the signal quality is improved with accurate pulse alignment and iterative weighted accumulation to solve the low SNR problem. In the second stage

the absolute value of the forward quotient of adjacent points in the signal spectrum is defined as the spectral neighbor quotient

and extract the spectral neighbor quotient corresponding to the main flap and the first side flap of the signal spectrum as the fingerprint feature against multipath to solve the multipath interference problem. The local refinement spectral analysis capability of Chirp-Z transform is also utilized to further improve the computational accuracy and speed of the method in this paper. Simulation experiments show that the method in this paper has outstanding performance in pulse alignment and overcoming multipath interference. The real-world data experiments on the classification and identification of intercepted single-frequency pulse signals from 15 radars of the same model obtain over 97% identification accuracy. It is demonstrated that the method in this paper is of great value for the practical application of radar specific emitter identification under multipath conditions.

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references

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