Convergence and Steady-State Properties of the Affine Projection Mixed-Norm Algorithms

被引：0

作者：

Ling Liqian ^{[1
]}

Lin Bin ^{[1
]}

Wang Fei ^{[1
]}

Luo Lingling ^{[1
]}

机构：

[1] Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian 116026, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2016年 / 386卷

关键词：

Adaptive filter; Steady-state analysis; Mean-square error; Convergence rate;

D O I：

10.1007/978-3-662-49831-6_99

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The affine projection algorithm (APA) attracts a wide attention for its advantages such as simple frame, fast convergence rate, and so on. This paper is based on the AP algorithm to introduce nonlinear update equation for the weight error vector. So the affine projection mixed-norm (APMN) algorithm is proposed. In this paper, we use a new approach to analyse the APMN algorithm. In this thesis, the stability and convergence rate of APMN algorithm are analyzed in theory and, simulation and verification of theoretical analysis is also performed.

引用

页码：953 / 961

页数：9

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