基于捷变频联合数学形态学的干扰抑制算法

doi:10.3969/j.issn.1001-506X.2020.07.09

Abstract

Abstract:

The digital radio frequency memory (DRFM) intercepts the radar transmitted signal and modulates and forwards it, forming deceptive interference on the range dimension, which seriously affects the radar's detection and tracking of targets. Aiming at the problem, a dense false target interference suppression algorithm based on frequency agility combined with mathematical morphology is proposed. Firstly, the pulse-compressed data is binarized by the Otsu method. Then, the opening operation of mathematical morphology is used to suppress the interference and noise. Finally, the range-velocity high resolution is realized and the detection of the target is achieved by 2-dimensional sparse reconstruction. Simulations and actual radar with jammers experiments show that the method proposed can obtain good anti-interference performance and target detection performance.

Key words: dense false target jamming, frequency agility, Otsu, mathematical morphology, 2-dimensional sparse reconstruction

CLC Number:

TN957.52

Shuxian DONG, Yinghui QUAN, Xiada CHEN, Xia GAO, Yachao LI, Mengdao XING. Interference suppression algorithm based on frequency agility combined with mathematical morphology[J]. Systems Engineering and Electronics, 2020, 42(7): 1491-1498.

Figures/Tables 6

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References 26

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参数	数值
脉冲数	64
信号带宽/MHz	30
脉冲宽度/μs	6
跳频总数	128
目标距离/m	4 000
脉冲重复频率/kHz	25
步进带宽/MHz	10
初始载频/GHz	14
采样频率/MHz	60
目标速度/(m/s)	200

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Interference suppression algorithm based on frequency agility combined with mathematical morphology

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