DISTRIBUTED PARAMETER ESTIMATION WITH SELECTIVE COOPERATION

被引：28

作者：

Werner, Stefan ^{[1
]}

Huang, Yih-Fang ^{[2
]}

de Campos, Marcello L. R. ^{[3
]}

Koivunen, Visa ^{[1
]}

机构：

[1] Aalto Univ, Dept Signal Proc & Acoust, FIN-02150 Espoo, Finland

[2] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN USA

[3] Univ Fed Rio de Janeiro, Elect Engn, Rio De Janeiro, Brazil

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年

基金：

芬兰科学院;

关键词：

Distributed estimation; adaptive signal processing; set-membership filtering; sensor networks;

D O I：

10.1109/ICASSP.2009.4960217

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper proposes selective update and cooperation strategies for parameter estimation in distributed adaptive sensor networks. A set-membership filtering approach is employed that results in reduced complexity for updating parameter estimates at each network node, a significant reduction in information exchange between cooperating nodes, and an optimal strategy to obtain consensus estimates. The proposed strategies and the estimation algorithm offer a new way to explore cooperation in adaptive distributed sensor networks.

引用

页码：2849 / +

页数：2

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