EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-06-05 , DOI: 10.1186/s13638-020-01728-y Chuanzhang Wu , Baixiao Chen , Minglei Yang , Mei Dong
We address the suppressing problem of smeared spectrum (SMSP) jamming from the mixed signal received by the radar. To this end, we resort to the time-frequency analysis algorithm and give the concrete expression formula of the short-time Fourier transform (STFT) of SMSP jamming. The proposed method is to estimate the parameters of the jamming signal based on the STFT result, and then the jamming signal is reconstructed and suppressed form the mixed signal. In order to perform effective interference even after the pulse compression process, the jamming-to-target ratio (JSR) is always positive. Based on this assumption, the estimation steps for different parameters of SMSP jamming are given, including the number of sub-waveforms, the amplitude, and the time delay. The influence of choosing different window is also considered in this paper. The estimated performance of this method is verified by Monte Carlo simulation, and the results show the effectiveness of the proposed method.
中文翻译:
基于短时傅立叶变换的频谱模糊干扰参数估计与抑制研究
我们解决了雷达接收到的混合信号中的拖尾频谱(SMSP)干扰的抑制问题。为此,我们采用时频分析算法,给出了SMSP干扰的短时傅立叶变换(STFT)的具体表达式。提出的方法是基于STFT结果估计干扰信号的参数,然后从混合信号中重构和抑制干扰信号。为了即使在脉冲压缩过程之后也能进行有效干扰,干扰与目标的比率(JSR)始终为正。基于此假设,给出了针对SMSP干扰的不同参数的估计步骤,包括子波形的数量,幅度和时间延迟。本文还考虑了选择不同窗口的影响。