一种基于变换域的自适应滤波算法

针对传统时域自适应滤波在较低信噪比下检测估计信号波形的局限性,提出一种基于变换域的自适应滤波的算法。该方法利用分数阶傅里叶变换在分析线性调频信号时的优良特性,在分数阶变换域上进行自适应滤波处理,提高信号检测估计效果。仿真实验证明,该算法在较低信噪比条件下能较好地检测估计出回波信号,滤波效果胜过时域滤波。

Weak Signal Detection Based on FRFT-domain Adaptive Filtering Algorithm

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.