Robust Multitask Diffusion Affine Projection M-Estimate Algorithm: Design and Performance Analysis

被引：1
|
作者：
Song, Pucha [1 ,2 ]
Zhao, Haiquan [1 ,2 ]
Ma, Lian-Jiang [3 ]
Zhu, Yingying [1 ,2 ]
机构：
[1] Southwest Jiaotong Univ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Minist Educ, Chengdu 610031, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[3] Chengdu Jiaoda Guangmang Technol Co Ltd, Chengdu, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2023年 / 42卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Distributed estimation; Multitask network; Affine projection; Impulsive noise; M-estimate function; Steady-state analysis; CORRENTROPY CRITERION ALGORITHMS; RECURSIVE LEAST-SQUARES; MEAN M-ESTIMATE; DISTRIBUTED ESTIMATION; LMS ALGORITHM; FORMULATION; ADAPTATION; STRATEGIES; NETWORKS; FAMILY;
D O I：
10.1007/s00034-022-02140-1
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 distributed estimation performance of multitask diffusion affine projection (AP) algorithm (MD-APA) will be greatly reduced under the impulsive noise interference. To overcome this defect, a robust MD-APA is derived by using M-estimate function (MD-APM) to resist the impulsive noise interference. The mean performance, mean square performance and steady-state performance of MD-APM algorithm are studied, and the convergence range of the step-size and the theoretical steady-state MSD are obtained. In addition, the computational complexity of MD-APM algorithm is analyzed in detail. Simulation experiments show that the proposed MD-APM algorithm has better estimation performance compared with MD-APA and MD-APSA under the impulsive noise interference, and its theoretical steady-state mean square deviation (MSD) can provide accurate prediction.
引用
收藏
页码：540 / 563
页数：24
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