基于m估计的鲁棒自适应FIR滤波器

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI:10.1109/WCICA.2004.1340907

Zhihuan Song, Yanchen Gao, Lihua Lu, Ping Li

{"title":"基于m估计的鲁棒自适应FIR滤波器","authors":"Zhihuan Song, Yanchen Gao, Lihua Lu, Ping Li","doi":"10.1109/WCICA.2004.1340907","DOIUrl":null,"url":null,"abstract":"This paper suggests a novel approach for design of robust adaptive FIR filter. From the point of view of robustness, a M-estimation regression-based is presented to improve the noise-immune capability of least square (LS) algorithm. Two sorts of algorithms for robust estimation are introduced. A robust design method of adaptive FIR filters is proposed based on the M-estimation. Finally, the results of simulation show that it is feasible and effective.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A robust adaptive FIR filter based on M-estimation\",\"authors\":\"Zhihuan Song, Yanchen Gao, Lihua Lu, Ping Li\",\"doi\":\"10.1109/WCICA.2004.1340907\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper suggests a novel approach for design of robust adaptive FIR filter. From the point of view of robustness, a M-estimation regression-based is presented to improve the noise-immune capability of least square (LS) algorithm. Two sorts of algorithms for robust estimation are introduced. A robust design method of adaptive FIR filters is proposed based on the M-estimation. Finally, the results of simulation show that it is feasible and effective.\",\"PeriodicalId\":331407,\"journal\":{\"name\":\"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)\",\"volume\":\"230 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2004.1340907\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2004.1340907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种鲁棒自适应FIR滤波器设计的新方法。从鲁棒性的角度出发，提出了一种基于m估计回归的最小二乘算法，提高了最小二乘算法的抗噪声能力。介绍了两种鲁棒估计算法。提出了一种基于m估计的自适应FIR滤波器鲁棒设计方法。最后，仿真结果表明了该方法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A robust adaptive FIR filter based on M-estimation

This paper suggests a novel approach for design of robust adaptive FIR filter. From the point of view of robustness, a M-estimation regression-based is presented to improve the noise-immune capability of least square (LS) algorithm. Two sorts of algorithms for robust estimation are introduced. A robust design method of adaptive FIR filters is proposed based on the M-estimation. Finally, the results of simulation show that it is feasible and effective.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)

自引率

0.00%

发文量