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Robust diffusion affine projection generalized maximum correntropy criterion algorithm over networks

  • Beijing Institute of Technology
  • China University of Geosciences, Beijing

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Generalized maximum correntropy criterion (GMCC) achieves desirable performance for system identification under non-Gaussian assumption. Combining diffusion strategy with affine projection generalized maximum correntropy criterion (APGMCC) algorithm, in this paper, we propose a new distribution type algorithm named diffusion APGMCC (DAPGMCC) algorithm, where every node in the diffusion network only exchanges information within its neighborhoods. Utilizing the Logarithmic function, we creat a new form of variable step-size DAPGMCC which splits the adaptation step into two steps (updation and combination). Simulation results demonstrate that the proposed two algorithms achieve good performance, compared with other related algorithms.

源语言英语
主期刊名Proceedings of the 40th Chinese Control Conference, CCC 2021
编辑Chen Peng, Jian Sun
出版商IEEE Computer Society
页3263-3268
页数6
ISBN(电子版)9789881563804
DOI
出版状态已出版 - 26 7月 2021
活动40th Chinese Control Conference, CCC 2021 - Shanghai, 中国
期限: 26 7月 2021 → 28 7月 2021

丛书

姓名Chinese Control Conference, CCC
卷2021-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议40th Chinese Control Conference, CCC 2021
国家/地区中国
市Shanghai
时期26/07/21 → 28/07/21

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