结构自适应滤波技术的研究概述

Research on structure adaptive filtering technology

自适应滤波技术是信号处理学科的一个重要分支,结构自适应滤波又是其进入21世纪后新兴的研究方向。以研究结构自适应滤波技术为目的,主要描述结构自适应滤波技术的算法与性能,从传统的结构自适应滤波算法的原理出发,采用算法对比分析的方式,分析了分段滤波(SF)算法、梯度下降(GD)算法以及分数抽头(FT)算法的优缺点,并结合已有文献给出了可行的新型分数抽头(FT)算法,通过应用实例对比说明新型分数抽头(FT)算法具有更好的稳定性、收敛速度以及信噪比。

Adaptive filtering technology is an important branch of signal processing,and structural adaptive filtering is a new research direction in the 21st century.Adaptive filtering technique based on the study of structure for the purpose,the main description structure algorithm and the performance of adaptive filter technology,from the principle of the structure of the traditional adaptive filtering algorithm,the algorithm is used to contrast analysis,analyzed the segmented filter(SF)algorithm,the algorithm of gradient descent(GD)and score tap(FT)and the advantages and disadvantages of the algorithm,Combined with the existing literature,a feasible new fractional tap(FT)algorithm is presented,and the application examples show that the new fractional tap(FT)algorithm has better stability,convergence speed and signal-to-noise ratio.