An incremental least-mean square algorithm with adaptive combiner

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.