系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (6): 1925-1934.doi: 10.12305/j.issn.1001-506X.2024.06.10

• 传感器与信号处理 • 上一篇    

一种针对驻留转换雷达的信号分选算法

张春杰1,2, 青松1,2, 邓志安1,2,*, 刘俞辰3   

  1. 1. 哈尔滨工程大学信息与通信工程学院, 黑龙江 哈尔滨 150001
    2. 先进船舶通信与信息技术工业和信息化部重点实验室, 黑龙江 哈尔滨 150001
    3. 国网黑龙江省电力有限公司哈尔滨供电公司, 黑龙江 哈尔滨 150001
  • 收稿日期:2022-11-15 出版日期:2024-05-25 发布日期:2024-06-04
  • 通讯作者: 邓志安
  • 作者简介:张春杰 (1975—), 女, 副教授, 博士, 主要研究方向为被动雷达信号处理
    青松 (1995—), 男, 硕士研究生, 主要研究方向为被动雷达信号分选
    邓志安 (1985—), 男, 副教授, 博士, 主要研究方向为阵列信号处理、宽带信号处理
    刘俞辰 (1997—), 男, 助理工程师, 硕士, 主要研究方向为被动雷达信号分选
  • 基金资助:
    中央高校基本科研业务费基金(3072022TS0802);黑龙江省自然科学基金联合引导项目(LH2020F019)

Signal deinterleaving algorithm for dwell and switch radar

Chunjie ZHANG1,2, Song QING1,2, Zhian DENG1,2,*, Yuchen LIU3   

  1. 1. College of Information and Communication, Harbin Engineering University, Harbin 150001, China
    2. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin 150001, China
    3. Harbin Power Supply Company, State Grid Heilongjiang Electric Power Company Limited, Harbin 150001, China
  • Received:2022-11-15 Online:2024-05-25 Published:2024-06-04
  • Contact: Zhian DENG

摘要:

复杂电磁环境下驻留转换雷达的信号分选是制约电子侦察技术发展的瓶颈, 由于其复杂多变的成形规律, 信号子周期难以被检测; 脉冲重复周期调制类型不明, 脉冲序列无法成功提取; 提取的多个子周期脉冲序列无法合并为一部雷达信号, 造成虚警。针对以上问题, 提出一种针对驻留转换雷达的信号分选算法, 利用双门限提高子周期检测概率, 通过霍夫变换结合迭代自组织聚类判断信号是否属于驻留转换雷达, 改进搜索算法以提取脉冲序列, 依据排列熵指标将多脉冲序列合并为一部驻留转换雷达信号。仿真实验结果表明, 所提算法在25%脉冲丢失率的复杂电磁环境下, 可以将三部驻留转换雷达信号成功分选。

关键词: 驻留转换, 信号分选, 霍夫变换, 脉冲序列搜索, 排列熵

Abstract:

The signal deinterleaving of dwell and switch radar in complex electromagnetic environments is a bottleneck that limits the development of electronic reconnaissance technology. The signal sub-cycles are difficult to be detected due to their complex and variable forming laws. The pulse sequences cannot be successfully extracted due to the unknown pulse repetition period modulation type, and the false alarms caused by extracted multiple sub-cycle pulse sequences that cannot be combined into one single radar signal. To address the above problems, a signal deinterleaving algorithm is proposed for the dwell and switch radar. The proposed algorithm enhances the detection probability of signal sub-cycles with double-threshold method, and the Hough transform is combined with iterative self-organizing clustering to determine whether the signal belongs to the dwell and switch radar, improving the search algorithm to extract pulse sequences, and combining multiple pulse sequences into one dwell and switch radar signal based on the permutation entropy index. Simulation experiments show that the proposed algorithm can successfully deinterleave the three dwell and switch radar signals in a complex electromagnetic environment with a pulse loss rate of 25%.

Key words: dwell and switch, signal deinterleaving, Hough transform, pulse sequence search, permutation entropy

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