一种基于变换域的自适应滤波算法  

Weak Signal Detection Based on FRFT-domain Adaptive Filtering Algorithm

作　　者：夏杰[1] 周青松[1] 许程成[1] 毛云祥[1] XIA Jie;ZHOU Qing-song;XU Cheng-cheng;MAO Yun-xiang(Electronic Engineering Institute,Hefei 230037,China)

机构地区：[1]电子工程学院,合肥230037

出　　处：《火力与指挥控制》2017年第8期29-33,共5页Fire Control & Command Control

摘　　要：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。Traditional time-domain adaptive filtering has limitation in signal detection andestimation under condition of low SNR.Therefore,a method of weak signal detection based on FRFTdomainadaptive filtering algorithm is presented.The method utilizes excellent features of FRFT(Fractional Fourier Transformation)specific to LFM signals,processes echo signals through adaptivefiltering algorithm on FRFT domain and improves detection effects.Simulation results show that theproposed method can detect and estimate echo signals effectively under condition of low SNR andexceeds time-domain adaptive filtering on filtering effects.

关 键 词：FRFT 自适应滤波 信号检测 波形估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]