随机PRI信号联合数据矩特征的干扰抑制算法

doi:10.12305/j.issn.1001-506X.2026.04.10

Abstract

Abstract:

Dense false target jamming is characterized by its deceptive and suppressive nature, significantly interfering with the detection and recognition of real targets. To address this issue, this paper proposes a jamming suppression algorithm that combines random pulse repetition interval signals with statistical moment features. Firstly, the gray-level entropy algorithm is utilized to binarize the data matrix after pulse compression. Secondly, the first-order moment in mathematical statistics is employed as a discriminant index to suppress most of the jamming along the fast-time dimension. Then, the Z-score method in mathematical statistics is applied to eliminate jamming sidelobes along the slow-time dimension. Finally, slow-time coherent integration is directly performed to achieve target detection. When the binarization effect is ineffective, data sliding window preprocessing is applied to enhance jamming suppression. Simulation results demonstrate that when the jamming-to-signal ratio is 59 dB, the proposed algorithm can still effectively suppress jamming and detect the target, validating the effectiveness of the proposed algorithm.

Key words: dense false target jamming, random pulse repetition interval (PRI) signals, gray-level entropy, moment features, data preprocessing

CLC Number:

TN 974

Jun LUO, Hui CHEN, Zhaojian ZHANG, Xiaoge WANG, Weijian LIU, Binbin LI. Jamming suppression algorithm by integrating random PRI signals with statistical moment features[J]. Systems Engineering and Electronics, 2026, 48(4): 1195-1208.

Figures/Tables 12

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参数	数值	参数	数值
雷达载频/MHz	2000	目标脉压后信噪比/dB	5
发射带宽/MHz	10	干信比/dB	45
发射脉冲宽度/μs	50	干扰移频量/MHz	2
基准发射PRI/μs	500	干扰数目	50
离散均匀分布区间	[0,5]	干扰机转发时延/μs	0.2
扰动因子	1	假目标转发间隔/μs	1
脉冲数	64	假目标调制多普勒频率/Hz	750
目标距离/km	30	采样频率/MHz	20
目标径向速度/m/s	75	目标多普勒频率/Hz	750

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Jamming suppression algorithm by integrating random PRI signals with statistical moment features

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