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
收藏
页码：2849 / +
页数：2
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