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随着低截获技术在战场上的大量使用,侦察接收机接收到的低截获(LPI)信号大多都湮没在噪声中。为了准确地检测威胁目标,在研究时域奇异值分解(SVD)降噪的基础上,提出了基于频域SVD的LPI雷达信号降噪方法。仿真实验表明,该方法可以将LPI雷达常用的线性调频连续波(LFMCW)信号和二相编码(BPSK)信号的信噪比从0 d B提升到6 d B以上。频域SVD降噪使侦察机发现LPI雷达的概率大大提高。
With the widespread use of low-cutoff techniques on the battlefield, most of the low-cutoff (LPI) signals received by reconnaissance receivers are buried in noise. In order to accurately detect the threat target, based on the study of time-domain singular value decomposition (SVD) noise reduction, an LPI radar signal denoising method based on frequency-domain SVD is proposed. The simulation results show that this method can improve the signal-to-noise ratio of LFMCW signal and BPSK signal from 0 d B to above 6 d B. Frequency-domain SVD noise reduction greatly increases the probability of reconnaissance aircraft finding LPI radars.