系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (4): 1186-1194.doi: 10.12305/j.issn.1001-506X.2026.04.09

• 传感器与信号处理 • 上一篇    

时域多脉冲相关与聚类分析的抗同频干扰技术

刘硕(), 周宇(), 张哲昊, 尚嵩, 程松   

  1. 西安电子科技大学雷达信号处理全国重点实验室,陕西 西安 710071
  • 收稿日期:2025-01-06 修回日期:2025-03-27 接受日期:2026-02-28 出版日期:2025-05-23 发布日期:2025-05-23
  • 通讯作者: 周宇 E-mail:23021211522@stu.xidian.edu.cn;zhouyu@mail.xidian.edu.cn
  • 作者简介:刘 硕(2001—),男,硕士研究生,主要研究方向为雷达系统仿真、同频干扰抑制
    张哲昊(1997—),男,博士研究生,主要研究方向为雷达系统仿真
    尚 嵩(1997—),男,博士研究生,主要研究方向为博弈对抗
    程 松(1997—),男,博士研究生,主要研究方向为电子对抗

Anti-same-frequency interference technology based on time-domain multi-pulse correlation and clustering analysis

Shuo LIU(), Yu ZHOU(), Zhehao ZHANG, Song SHANG, Song CHENG   

  1. National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China
  • Received:2025-01-06 Revised:2025-03-27 Accepted:2026-02-28 Online:2025-05-23 Published:2025-05-23
  • Contact: Yu ZHOU E-mail:23021211522@stu.xidian.edu.cn;zhouyu@mail.xidian.edu.cn

摘要:

编队场景下,内部雷达产生的同频干扰,会导致目标的检测与跟踪性能下降,因此对于同频干扰的抑制很有必要。提出时域多脉冲相关与聚类分析的抗同频干扰技术,在时域多脉冲相关法判定为目标后,对目标数据进行聚类分析,将干扰数据恢复为目标信号,可同时满足假目标的剔除和真目标的检出。仿真实验表明,所提算法不受干扰环境影响而具有普适性;相比传统方法,所提算法能够提升目标的检测性能;在多部编队雷达同时开机的情况下,所提算法仍然保持一定的稳定性。

关键词: 信号处理, 目标检测, 聚类, 同频干扰, 时域多脉冲相关法

Abstract:

In formation scenarios, the same-frequency interference generated by internal radars can lead to a decline in the detection and tracking performance of targets. Therefore, it is necessary to suppress co-frequency interference. A time-domain multi-pulse correlation and cluster analysis anti-co-frequency interference technology is proposed. After the time-domain multi-pulse correlation method determines it as a target, cluster analysis is performed on the target data to restore the interference data to the target signal, which can simultaneously meet the requirements of eliminating false targets and detecting true targets. Simulation experiments show that the proposed algorithm is not affected by the interference environment and has universality. Compared with traditional methods, the proposed algorithm can improve the detection performance of targets. In the case of multiple formation radars operating simultaneously, the proposed algorithm still maintains a certain stability.

Key words: signal processing, object detection, clustering, same-frequency interference, time-domain multi-pulse correlation method

中图分类号: