Weak signal detection based on FRFT-domain adaptive filtering algorithm
Jie Xia, Jianyun Zhang, Xiaobo Li, Yunxiang Mao · 2016
Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.