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distributedandrecursiveblindchannelidentificationtosensornetworks
Liu Rui; Chen Hanfu
2017
Source Publicationcontroltheoryandtechnology
ISSN2095-6983
Volume015Issue:004Pages:274
AbstractIn this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output (SIMO) systems of sensor networks (both time-invariant and time-varying networks). At any time, each agent updates its estimate using the local observation and the information derived from its neighboring agents. The algorithms are based on the truncated stochastic approximation and their convergence is proved. A simulation example is presented and the computation results are shown to be consistent with theoretical analysis.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/36957
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Liu Rui,Chen Hanfu. distributedandrecursiveblindchannelidentificationtosensornetworks[J]. controltheoryandtechnology,2017,015(004):274.
APA Liu Rui,&Chen Hanfu.(2017).distributedandrecursiveblindchannelidentificationtosensornetworks.controltheoryandtechnology,015(004),274.
MLA Liu Rui,et al."distributedandrecursiveblindchannelidentificationtosensornetworks".controltheoryandtechnology 015.004(2017):274.
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