基于频域滤波的无人机载预警雷达抗主瓣无意干扰方法

doi:10.12305/j.issn.1001-506X.2026.03.10

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (3): 826-834.doi: 10.12305/j.issn.1001-506X.2026.03.10

• 传感器与信号处理 • 上一篇

基于频域滤波的无人机载预警雷达抗主瓣无意干扰方法

高晨然¹^,*, 张西川², 熊元燚¹, 陈威¹, 谢文冲¹

1. 空军预警学院雷达兵器运用工程军队重点实验室，湖北武汉 430019
2. 中国人民解放军 93128部队，北京 100000

收稿日期:2024-12-06 出版日期:2026-03-25 发布日期:2026-04-13
通讯作者: 高晨然
作者简介:张西川（1984—），男，高级工程师，博士，主要研究方向为雷达信号处理、空时自适应信号处理
熊元燚（1990—），男，讲师，博士研究生，主要研究方向为机载雷达信号处理、空时自适应信号处理
陈　威（1993—），男，讲师，博士，主要研究方向为机载雷达信号处理、空时自适应信号处理
谢文冲（1978—），男，教授，博士研究生导师，博士，主要研究方向为机载雷达信号处理、空时自适应信号处理
基金资助:
国家自然科学基金青年科学基金(62401622)；湖北省自然科学基金(2024AFB524)资助课题

Anti-mainlobe unintentional jamming method for UAV-borne early warning radar based on frequency-domain filtering

Chenran GAO¹^,*, Xichuan ZHANG², Yuanyi XIONG¹, Wei CHEN¹, Wenchong XIE¹

1. Radar Weapon Application Engineering Key Research Laboratory，Air Force Early Warning Academy，Wuhan 430019，China
2. Unit 93128 of the PLA，Beijing 100000，China

Received:2024-12-06 Online:2026-03-25 Published:2026-04-13
Contact: Chenran GAO

摘要/Abstract

摘要：

由于机载预警雷达的工作频段不断向低频段拓展，更多的无线通信设备与雷达系统共用频段，导致无人机载雷达在工作时受到大量的无意干扰，严重影响其目标探测性能。针对上述问题，在保持机载雷达系统参数不变的前提下，提出一种基于无源/有源双模协同的主瓣无意干扰抑制架构和方法。首先，在无源模式下通过自适应波束形成技术和恒虚警率检测准则估计每个波位主瓣干扰信号的频率和带宽。然后，在有源模式下通过频域滤波实现主瓣无意干扰的抑制。同时，通过噪声补偿将滤波后的色噪声白化为白噪声，在实现干扰抑制的同时进一步提升了目标检测性能。最后，通过仿真实验验证了所提方法的有效性。

关键词: 机载雷达, 主瓣无意干扰, 频率谱估计, 频域滤波, 噪声补偿

Abstract:

For the operating frequency bands of airborne early warning radars are continuously expanding towards lower frequency ranges, more wireless communication devices share the same frequency bands with radar systems, causing significant unintentional jamming to unmanned aerial vehicle (UAV)-borne radars during operation and severely affecting its target detection performance. To address these issues, a mainlobe unintentional jamming suppression architecture and method based on passive/active dual-mode coordination are proposed while keeping the parameters of the airborne radar system unchanged. Firstly, in passive mode, the frequency and bandwidth of each mainlobe jamming signal are estimated using adaptive beamforming techniques and constant false alarm rate detection criteria. Then, in active mode, the suppression of mainlobe unintentional jamming is achieved through frequency domain filtering. At the same time, the filtered color noise is whitened to white noise through noise compensation, which further improves the target detection performance while achieving jamming suppression. Finally, the effectiveness of the proposed method is verified through simulation experiments.

Key words: airborne radar, mainlobe unintentional jamming, frequency spectrum estimation, frequency-domain filtering, noise compensation

中图分类号:

TN 957

高晨然, 张西川, 熊元燚, 陈威, 谢文冲. 基于频域滤波的无人机载预警雷达抗主瓣无意干扰方法[J]. 系统工程与电子技术, 2026, 48(3): 826-834.

Chenran GAO, Xichuan ZHANG, Yuanyi XIONG, Wei CHEN, Wenchong XIE. Anti-mainlobe unintentional jamming method for UAV-borne early warning radar based on frequency-domain filtering[J]. Systems Engineering and Electronics, 2026, 48(3): 826-834.

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参数分类	名称	取值
系统参数	峰值发射功率/kW	230
	脉冲重复频率/Hz	2 000
	载频/MHz	450
天线参数	阵元方向图	余弦方向图
天线参数	阵元增益/dB	4
载机参数	高度/km	8
载机参数	速度/（m/s）	220

参数分类	名称	取值
干扰参数	调制方式	AM、OFDM、FM、PM
	干扰信号个数	4
	干扰方位角/（°）	88、89、90、91
	干扰俯视角/（°）	1、1、1、1
	载频/MHz	451.6、451.5、451.0、450.5
目标参数	目标方位角/（°）	88≤θ≤92
	目标俯视角/（°）	0≤ψ≤2
	目标个数	20

干扰信号类型	干扰信号功率/dBm	SINR改善/dB
AM	14	7.23
	20	10.96
	26	14.32
OFDM	14	7.70
	20	11.42
	26	15.13
FM	14	7.38
	20	11.28
	26	14.68
PM	14	6.72
	20	10.68
	26	14.17

序号	噪声功率谱密度估计偏差率/%	信干噪比改善/dB
1	0	11.42
2	50	11.16
3	100	10.82
4	150	10.44
5	200	10.03
6	250	9.60
7	300	9.16

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基于频域滤波的无人机载预警雷达抗主瓣无意干扰方法

Anti-mainlobe unintentional jamming method for UAV-borne early warning radar based on frequency-domain filtering

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