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Smart Noise Jamming Suppression Technique Based on Blind Source Separation

Wen Yu and Wei Chen
School of Electronic Information Engineering, Beihang University, Beijing, China
Abstract—Smart noise jamming is one of radar active jamming modes, which has the characteristics of both suppression and deception. When it is used as self-defense jamming, radar target detection will be threatened greatly. Blind source separation (BSS) is proposed to solve the problem of multiplicative modulation smart noise jamming and target echo mixture to suppress the interference. Firstly, the receiving channel is expanded by the auxiliary antenna whose polarized mode is orthogonal to the main antenna of radar, and the problem of single channel is transformed into multi-channel. Secondly, weights-adjusted second-order blind identification (WASOBI) is utilized to separate the jamming and target echo. To decrease the influence of channel noise on BSS, wavelet de-noising is used on the observed signals. The simulation shows that when SNR is greater than 15dB, the similarity coefficient of target echo obtained by BSS can reach more than 0.85 after de-noising process. 

Index Terms—smart noise jamming, polarized channel expanding, BSS, self-defense jamming, wavelet de-noising

Cite: Wen Yu and Wei Chen, "Smart Noise Jamming Suppression Technique Based on Blind Source Separation," International Journal of Signal Processing Systems, Vol. 7, No. 1, pp. 14-19, March 2019. doi: 10.18178/ijsps.7.1.14-19

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