文档介绍：摘要
自适应滤波器是相对固定滤波器而言的,固定滤波器属于经典滤波器,它滤波的频率是固定的,自适应滤波器滤波的频率则是自动适应输入信号而变化的,所以其适用范围更广。在没有任何关于信号和噪声的先验知识的条件下,自适应滤波器利用前一时刻已获得的滤波器参数来自动调节现时刻的滤波器参数,以适应信号和噪声未知或随机变化的统计特性,从而实现最优滤波。实际情况中,由于信号和噪声的统计特性常常未知或无法获知,这就为自适应滤波器提供广阔的应用空间。自适应滤波器能够根据环境的变化改变滤波器的参数和结构,它的最重要的特征就在于它能够在未知环境中有效工作。
为了自适应滤波器更好的在雷达中应用,它采用自适应算法对于突发性导致的噪声进行对消处理,有效的提升了滤波的健硕性,实现稳定跟踪,研究基于LMS的自适应滤波器算法和基于RLS的自适应滤波器算法,并用Matlab对算法进行了仿真。
关键词
自适应滤波器;雷达;噪声对消;算法
Abstract
Fixed pared with adaptive filter,is the classical filter,and its frequency is the frequency of adaptive filter is automatically adapted to input signal changes,so its scope of application is much the absence of any noise on the signal and the priori knowledge of the conditions,the adaptive filter uses the filter parameters,which has gained at the previous time to automatically adjust the filter parameters,so that it can adapt to the unknown signal and noise,or random changes in the statistical characteristics in order to achieve the optimal the actual situation,because signal and noise statistical properties are often nuknown or do not know,a broad application space will be filter can be changed according to changes in environment and structure of filter parameters,and its most important feature is that it can be effective in the work of an unknown environment.
In order to be better applied on the radar ,adaptive filter adopts algorithm which will cancel for noise caused doing so,it enhances the strong build of filtering effectively,achieves stable tracking,and studies the adaptive filter based on LMS algorithm and the RLS-based on adaptive filter algorithms,and Matlab simulation of the algoithm.
Key words
Adaptive filter; Radar; Noise Cancellation; Algorithm
目录
摘要 I
Abstract II
第一章前言 1
自适应滤波器的研究历史 1
雷达的发展现状 1
自适应滤波器在跟踪雷达中的应用的背景 2
第二章自适应滤波器概述 3
3
3
自适应滤波器应用类型 4
第三章自适应滤波器的原理 6
基于LMS自适应干扰对消原理 7
改进的自适应滤波器的原理 9
基于LMS算法的自适