Diffusion Sign Subband Adaptive Filtering Algorithm with Enlarged Cooperation and Its Variant

作     者：Shi, Juan Ni, Jingen 

作者机构：Soochow Univ Sch Elect & Informat Engn Suzhou 215006 Peoples R China 

出 版 物：《CIRCUITS SYSTEMS AND SIGNAL PROCESSING》 (电路、系统和信号处理)

年 卷 期：2017年第36卷第4期

页      面：1714-1724页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：National Natural Science Foundation of China (NSFC) [61471251, 61101217] Natural Science Foundation of Jiangsu Province [BK20131164] 

主　　题：Distributed estimation Enlarged cooperation Proportionate adaption Sign algorithm 

摘      要：The recently proposed diffusion sign subband adaptive filtering (DSSAF) algorithm is more robust than most of mean-square error minimization criterion-based diffusion distributed estimation algorithms in an impulsive interference environment. To enhance its convergence rate and steady-state misalignment, this paper proposes a DSSAF algorithm with enlarged cooperation (DSSAF-EC). The DSSAF-EC algorithm exchanges not only the weight information but also measurements within individual neighborhoods. Moreover, a variant of the DSSAF-EC algorithm, called the proportionate DSSAF-EC (PDSSAF-EC) algorithm, is presented. It incorporates an adaptive gain matrix into the DSSAF-EC algorithm to proportionately adapt the weight vectors of agents. Simulation results verify that both the DSSAF-EC and PDSSAF-EC algorithms are robust against impulsive interference and that the PDSSAF-EC algorithm can obtain faster convergence rate than the DSSAF-EC algorithm in estimating a sparse unknown weight vector.