连续波背景下多信号处理方法

对接收到的信号进行短时傅里叶变换，通过分析短时傅里叶变换中每一个时间片内的信号频谱，检测出连续波背景下的脉冲信号。滤除线性调频脉冲信号成分，保留连续波信号成分，得到调频连续波信号具有周期性的时频变化曲线。根据连续波信号时频变化曲线的频谱特征，估计出其主要参数，然后滤除脉冲信号出现时间内信号中的连续波成分，并采用相应的方法估计出其参数。仿真结果表明，本文算法可以准确估计出线性调频连续波（LFMCW）信号和线性调频（LFM）脉冲信号的参数，当LFMCW信号的信噪比高于-8dB，并且其功率比脉冲信号功率小6dB以上时，算法具有良好的估计精度和稳定性。

Multi-Component Signal Processing Against Continue-Wave Background

The algorithm for multi-component signal processing against the background of linear frequency modulated continuous wave(LFMCW) in electronic reconnaissance is discussed.The pulse signals can be detected from the continue-wave background by analyzing every time slice of the short-time Fourier transform exerted on the received signal.By filtering the LFM pulse signals and remaining the component of the CW signal,the periodic time-frequency curve of LFMCW radar signal can be obtained.According to characters of the spectrum of the time-frequency curve,the main parameters of the LFMCW signal can be estimated.Then,by filtering LFMCW component from pulse signals,the parameters of the LFM pulse signals can be estimated by the relative algorithms.Simulation results indicate that the method can accurately estimate the parameters of LFMCW signals and LFM pulse signals.When SNR of the LFMCW signals is higher than(-8 dB) and its power is 6 dB lower compared with LFM pulse signals,the performance of the algorithm is stable and the precision is good.