Radar small/mini target detection technology in strong clutter environment

The Journal of Engineering

Weixiong Bai¹  Jin Mao¹  Linyong Wu² 

[1] Air and Missile Defense College, Air Force Engineering University;

[2] Sichuan Jiuzhou Falcon Technologies Co., LTD;

关键词: principal component analysis;    wavelet transforms;    radar clutter;    object detection;    radar detection;    noise figure 7.0 db;    different radar systems;    clutter suppression;    clutter signal;    principal component decomposition;    false-alarm detection method;    strong clutter environment;    principal component analysis;    transform component analysis;   

DOI  :  10.1049/joe.2019.0614

来源: DOAJ

【 摘 要 】

A method of radar small/mini target wavelet transform and principal component analysis in strong clutter environment is suggested. Focusing on the situation that the small/mini target in the strong clutter environment is swamped by clutter, traditional constant false-alarm detection method limited by theory limit cannot effectively detect target, the transform domain, wavelet coefficient and principal component decomposition can realise the separation of radar small/mini target signal from the clutter signal, so as to achieve clutter suppression and small/mini target detection. The test shows the radar small/mini target detection based on wavelet transform is limited by wavelet function, decomposition layers and adaptive threshold; principal component decomposition can adapt to the signal of different radar systems, and types with good adaptability to algorithm can effectively suppress clutter and improve average signal-to-noise ratio by 7 dB.

【 授权许可】

Unknown