一种增量噪声约束最小均方算法

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI:10.1109/icfsp48124.2019.8938040

Usman Hameed, S. G. Khawaja, M. O. B. Saeed

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引用次数: 2

摘要

本文提出了一种基于增量算法的无线传感器网络分布式估计算法。该算法利用噪声方差来提高性能。给出了推导和均值分析。对算法进行均值分析，证明了算法的步长范围和稳定性。在不同场景下的实验结果表明了该算法的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Incremental Noise Constrained Least Mean Square Algorithm

This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm.

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2019 5th International Conference on Frontiers of Signal Processing (ICFSP)

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