Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis

Jingen Ni, Jie Chen, Xiaoping Chen

科研成果: 期刊稿件文章同行评审

102 引用 (Scopus)

摘要

In the case where the measurement noise involves impulsive interference, distributed estimation algorithms based on the mean-square error (MSE) criterion may suffer from severely degraded convergence performance or divergence. To address this problem, we modify the adapt-then-combine (ATC) diffusion LMS (DLMS) algorithm by applying the sign operation to the error signals at all agents to develop a diffusion sign-error LMS (DSE-LMS) algorithm. Furthermore, the stochastic behavior of the DSE-LMS algorithm is analyzed for Gaussian inputs and contaminated Gaussian noise based on Price's theorem. Simulation results show the robustness of the DSE-LMS algorithm against impulsive interference and validate the theoretical findings.

源语言英语
页(从-至)142-149
页数8
期刊Signal Processing
128
DOI
出版状态已出版 - 1 11月 2016

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