A new wavelet-based tracking algorithm for rapidly time-varying systems

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955255

Yuanjin Zheng, Zhiping Lin

引用次数: 1

Abstract

A recursive least squares (RLS) algorithm with selective modification of the system estimation covariance matrix is employed to track the rapidly changing components of system parameters. A new on-line wavelet detector is designed for accurately identifying the changing locations and the branches of changing parameters. Employing theses techniques, the tracking performance of the proposed algorithm to rapidly changing systems can be significantly improved.

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一种新的基于小波的快速时变系统跟踪算法

采用选择性修改系统估计协方差矩阵的递推最小二乘(RLS)算法跟踪系统参数的快速变化分量。设计了一种新的在线小波检测器，用于准确识别变化参数的变化位置和分支。采用这些技术，可以显著提高算法对快速变化系统的跟踪性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.