Diffusion least mean square/fourth algorithm for distributed estimation

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• 作者：Zongsheng Zheng ^{bk20095185@my.swjtu.edu.cn} ; Zhigang Liu ; ^{liuzg_cd@126.com} ; Ming Huang ^{bk20095186@my.swjtu.edu.cn}
• 关键词：Adaptive networks ; Distributed estimation ; Diffusion strategy ; Mixed square/fourth error cost function
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：134
• 期：Complete
• 页码：268-274
• 全文大小：1243 K
• 卷排序：134

文摘

A diffusion LMS/F algorithm is proposed for non-Gaussian noise environments. Three diffusion sparse LMS/F algorithms are developed for sparse system estimation. The proposed algorithms are derived from the mixed square/fourth error cost function. Simulation results confirm the improvements of the proposed algorithms.