FM interference suppression for PRC-CW radar based on adaptive STFT and time-varying filtering

来源 :Journal of Systems Engineering and Electronics | 被引量 : 0次 | 上传用户:wilsai
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The influence of frequency modulation(FM) interference on correlation detection performance of the pseudo random code continuous wave(PRC-CW) radar is analyzed.It is found that the correlation output deteriorates greatly when the FM interference power exceeds the anti-jamming limit of the radar.According to the fact that the PRC-CW radar echo is a wideband pseudo random signal occupying the whole TF plane,while the FM interference only concentrates in a small portion,a new method is proposed based on adaptive short-time Fourier transform(STFT) and time-varying filtering for FM interference suppression.This method filters the received signal by using a binary mask to excise only the portion of the TF plane corrupted by the interference.Two types of interference,linear FM(LFM) and sinusoidal FM(SFM) ,under different signal-to-jamming ratio(SJR) are studied.It is shown that the proposed method can effectively suppress the FM interference and improve the performance of target detection. The influence of frequency modulation (FM) interference on correlation detection performance of the pseudo random code continuous wave (PRC-CW) radar is analyzed. It is found that the correlation output deteriorates greatly when the FM interference power exceeds the anti-jamming limit of the radar. According to the fact that the PRC-CW radar echo is a wideband pseudo random signal occupying the whole TF plane, while the FM interference only concentrates in a small portion, a new method is proposed based on adaptive short-time Fourier transform (STFT) and time-varying filtering for FM interference suppression. This method filters the received signal by using a binary mask to excise only the portion of the TF plane corrupted by the interference. Two types of interference, linear FM (LFM) and sinusoidal FM (SFM), under different signal-to-jamming ratio (SJR) are studied. It is shown that the proposed method can effectively suppress the FM interference and improve the performance of target detection.
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