EXACT ASYMPTOTICS OF DISTRIBUTED DETECTION OVER ADAPTIVE NETWORKS

被引：0

作者：

Matta, Vincenzo ^{[1
]}

Braca, Paolo ^{[2
]}

Marano, Stefano ^{[1
]}

Sayed, Ali H. ^{[3
]}

机构：

[1] Univ Salerno, Dept Informat & Elect Engn & Appl Math, Fisciano, SA, Italy

[2] NATO STO Ctr Maritime Res & Experimentat, Res Dept, La Spezia, Italy

[3] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90024 USA

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | 2015年

关键词：

Distributed detection; adaptive network; diffusion strategy; large deviations; exact asymptotics; MULTIPLE SENSORS; DEVIATIONS; PERFORMANCE; STRATEGIES;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In [1], an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in [1] revealed that a refined asymptotic analysis is necessary in order to capture the exact impact of network connectivity on the detection performance of each individual agent. Here we address this open issue by exploiting the framework of exact asymptotics.

引用

页码：3377 / 3381

页数：5

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