An Incremental Least-Mean Square Algorithm With Adaptive Combiner

被引：3
|
作者：
Tinati, Mohammad Ali [1 ]
Rastegarnia, Amir [1 ]
Khalili, Azam [1 ]
机构：
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
来源：
ICWMMN 2010, PROCEEDINGS | 2010年
关键词：
adaptive filter; distributed estimation; least-mean square; incremental cooperation; STRATEGIES;
D O I：
10.1049/cp.2010.0667
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a new incremental least-mean square (LMS) algorithm with adaptive combination strategy The adaptive combination strategy improves the robustness of the proposed algorithm to the spatial variation of signal-to-noise ratio (SNR) The performance of our algorithm is more remarkable in inhomogeneous environments when there are some noisy nodes (nodes with low SNR) in the network. The simulation results show that the proposed algorithm outperforms than the incremental LMS algorithm
引用
收藏
页码：266 / 269
页数：4
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