基于无噪后验错误矢量信号能量的变正则因子仿射投影算法

doi:10.3969/j.issn.0372-2112.2015.01.002

电子学报 ›› 2015, Vol. 43 ›› Issue (1): 7-12.DOI: 10.3969/j.issn.0372-2112.2015.01.002

基于无噪后验错误矢量信号能量的变正则因子仿射投影算法

师黎明, 林云

重庆邮电大学移动通信技术重庆市重点实验室, 重庆 400065

收稿日期:2013-09-22 修回日期:2014-07-01 出版日期:2015-01-25
- 作者简介:
- 师黎明 男, 1989年8月出生, 河南漯河人.2012年毕业于河南工业大学电子信息工程系, 2012进入重庆邮电大学通信与信息工程系, 现为硕士在读生, 从事自适应滤波方面的有关研究.E-mail:limingshi12@foxmail.com;林云男, 1968年12月出生, 四川南充人.重庆邮电大学通信与信息工程系副教授、硕士生导师, 主要研究方向为MIMO技术及稀疏信号处理.E-mail:lycqupt@sina.com
- 基金资助:
- 长江学者和创新团队发展计划 (No.IRT1299); 重庆市科委重点实验室专项经费

Variable Regularization Parameter for Affine Projection Algorithm Based on Energy of the Noise-Free a Posterior Error Vector Signal

SHI Li-ming, LIN Yun

Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2013-09-22 Revised:2014-07-01 Online:2015-01-25 Published:2015-01-25
- Supported by:
- Program for Changjiang Scholars and Innovative Research Team in University (No.IRT1299); Fund of Key Laboratory of Chongqing Municipal Science & Technology Commission

摘要/Abstract

摘要：

变正则因子技术是提高仿射投影自适应算法性能的重要方法之一.由于环境噪声的影响,现有的变正则因子自适应算法收敛速度较慢且稳态误差较大,各种测量、评估误差的存在进一步恶化了算法性能.为提高自适应算法的跟踪性能,本文在分析无噪先验错误矢量、无噪后验错误矢量和额外均方错误间关系的基础上,提出通过最小化无噪后验错误矢量信号能量来推导自适应变正则因子表达式的方法.在实践应用中,该方法利用了测量噪声的统计方差特性,并提出一种更加光滑且更加容易控制的指数缩放因子评估方法.系统辨识的仿真结果表明本文方法与传统的变正则因子方法以及变步长方法相比有更快的收敛速度与更低的稳态误差.

关键词: 自适应滤波, 仿射投影算法, 无噪后验错误矢量信号能量, 变正则因子, 指数缩放因子

Abstract:

Variable regularization (VR) parameter technique is an important method to improve the tracking performance of affine projection adaptive filtering algorithm.Existing VR algorithms suffer from environmental noise and estimation errors,making it slow to converge and have a large steady-state error.Based on the analysis of the relationships between noise-free a priori error vector,noise-free a posterior error vector and excess mean-square error,a novel VR method via minimizing energy of the noise-free a posterior error vector is proposed to improve the tracking performance.The statistical variance of the measurement noise and a smoother and more easily-controlled exponential scaling factor estimation method are used for practical implementation.Reduced steady-state misalignment and improved convergence speed as compared to conventional algorithms are demonstrated by simulations in system identification scenarios.

Key words: adaptive filtering, affine projection algorithm, energy of the noise-free a posterior error vector signal, variable regularization parameter, exponential scaling factor

中图分类号:

TN911.72

师黎明, 林云. 基于无噪后验错误矢量信号能量的变正则因子仿射投影算法[J]. 电子学报, 2015, 43(1): 7-12.

SHI Li-ming, LIN Yun . Variable Regularization Parameter for Affine Projection Algorithm Based on Energy of the Noise-Free a Posterior Error Vector Signal[J]. Acta Electronica Sinica, 2015, 43(1): 7-12.

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基于无噪后验错误矢量信号能量的变正则因子仿射投影算法

Variable Regularization Parameter for Affine Projection Algorithm Based on Energy of the Noise-Free a Posterior Error Vector Signal

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