Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm

被引：22
|
作者：
Shi, Long [1 ,2 ]
Zhao, Haiquan [1 ,2 ]
Zakharov, Yuriy [3 ]
机构：
[1] Southwest Jiaotong Univ, Minist Educ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Chengdu 610031, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
[3] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
来源：
IEEE SIGNAL PROCESSING LETTERS | 2019年 / 26卷 / 08期
基金：
英国工程与自然科学研究理事会; 美国国家科学基金会;
关键词：
EMSE; Kronecker product; Rayleigh distribution; shrinkage; STEADY-STATE ANALYSIS;
D O I：
10.1109/LSP.2019.2925957
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 shrinkage linear complex-valued least mean squares (SL-CLMS) algorithm with a variable step size overcomes the conflicting issue between fast convergence and low steady-state misalignment. To the best of our knowledge, the theoretical performance analysis of the SL-CLMS algorithm has not been presented yet. This letter focuses on the theoretical analysis of the excess mean square error transient and steady-state performance of the SL-CLMS algorithm. Simulation results obtained for identification scenarios show a good match with the analytical results.
引用
收藏
页码：1202 / 1206
页数：5
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