基于群智能优化的雷达回波有源对消信号生成方法

doi:10.12305/j.issn.1001-506X.2026.10.11

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (10): 3385-3392.doi: 10.12305/j.issn.1001-506X.2026.10.11

• 传感器与信号处理 • 上一篇

基于群智能优化的雷达回波有源对消信号生成方法

董阳阳(), 田文昊(), 张波(), 董春曦()

西安电子科技大学电子工程学院，陕西西安 710071

收稿日期:2025-07-09 接受日期:2025-09-04 出版日期:2026-10-25 发布日期:2026-09-30
通讯作者: 董阳阳 E-mail:yydong@xidian.edu.cn;24021212032@stu.xidian.edu.cn;18629423485@163.com;chxdong@mail.xidian.edu.cn
作者简介:田文昊（2002—），男，硕士研究生，主要研究方向为电子侦察、雷达干扰
张　波（1997—），男，硕士研究生，主要研究方向为成像雷达干扰技术、阵列信号处理
董春曦（1970—）男，教授，博士，主要研究方向为信息对抗

Method of radar echo active cancellation signal generation based on swarm intelligence optimization

Yangyang Dong(), Wenhao Tian(), Bo Zhang(), Chunxi Dong()

School of Electronic Engineering，Xidian University，Xi’an 710071，China

Received:2025-07-09 Accepted:2025-09-04 Online:2026-10-25 Published:2026-09-30
Contact: Yangyang Dong E-mail:yydong@xidian.edu.cn;24021212032@stu.xidian.edu.cn;18629423485@163.com;chxdong@mail.xidian.edu.cn

摘要/Abstract

摘要：

为解决频率、幅度、相位等未知误差引起传统有源对消信号产生方法性能恶化严重的问题，提出基于群智能优化算法的雷达回波有源对消信号生成方法。以重构回波信号和对消信号的合成能量最小化为目标，使用对消比量化对消效果。充分考虑目标函数的多维非线性和多峰特性，采用吸血水蛭优化（blood-sucking leech optimizer，BSLO）算法随机初始化水蛭个体表示对消信号参数，通过迭代进化更新位置来优化对消效果。仿真实验表明，与粒子群优化算法相比，基于BSLO的优化算法在相参积累脉冲数较大时仍能保持良好的对消效果，且当相参积累脉冲总数为200时，对消比高于10 dB。所提方法可为机动平台有源隐身提供技术支撑。

关键词: 有源对消, 吸血水蛭算法, 对消信号生成, 对消比

Abstract:

To address the problem that the performance of traditional active cancellation signal generation methods is seriously deteriorated due to unknown errors such as frequency, amplitude and phase, this paper proposes a method of radar echo active cancellation signal generation based on swarm intelligence optimization algorithm. To minimize the combined energy of reconstructed echo signal and cancellation signal, cancellation ratio is used to quantify the cancellation effect. Fully considering the multi-dimensional nonlinear and multi peak characteristics of the objective function, the blood-sucking leech optimizer （BSLO） algorithm is used to initialize the individual leech to represent the cancellation signal parameters, and the cancellation effect is optimized by iterative evolution to update the position. Simulation results show that, compared with particle swarm optimization algorithm, the optimization algorithm based on （BSLO） can still maintain good cancellation effect when the number of coherent accumulated pulses is large, and when the total number of coherent accumulated pulses is 200, the cancellation ratio is higher than 10 dB. The proposed method can provide technical support for active stealth of mobile platform.

Key words: active cancellation, blood-sucking leech optimizer algorithm, cancellation signal generation, cancellation ratio

中图分类号:

TN 974

董阳阳, 田文昊, 张波, 董春曦. 基于群智能优化的雷达回波有源对消信号生成方法[J]. 系统工程与电子技术, 2026, 48(10): 3385-3392.

Yangyang Dong, Wenhao Tian, Bo Zhang, Chunxi Dong. Method of radar echo active cancellation signal generation based on swarm intelligence optimization[J]. Systems Engineering and Electronics, 2026, 48(10): 3385-3392.

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算法	相参处理脉冲数
算法	10	100	200
BSLO算法	0.018 5	0.020 3	0.021 5
PSO算法	0.168 1	1.681 2	3.253 4

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基于群智能优化的雷达回波有源对消信号生成方法

Method of radar echo active cancellation signal generation based on swarm intelligence optimization

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