An Incremental Least-Mean Square Algorithm With Adaptive Combiner

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.

关键词： adaptive filter distributed estimation least-mean square incremental cooperation

作者: Mohammad Ali Tinati Amir Rastegarnia Azam Khalili

作者单位: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

会议类型: 国际会议

会议名称: 2010 The IET 3rd International Conference on Wireless,Mobile & Multimedia Networks(第三届IET无线移动及多媒体网络国际会议 ICWMMN 2010)

会议地点: 北京

会议语种:英文

页码: 266-269

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）