FUNDAMENTAL STRUCTURES AND ASYMPTOTIC PERFORMANCE CRITERIA IN DECENTRALIZED BINARY HYPOTHESIS-TESTING

被引：14

作者：

DELIC, H ^{[1
]}

PAPANTONIKAZAKOS, P ^{[1
]}

KAZAKOS, D ^{[1
]}

机构：

[1] UNIV ALABAMA,DEPT ELECT ENGN,TUSCALOOSA,AL 35487

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 1995年 / 43卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/26.385944

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, two fundamental distributed decision network structures are considered: the first system consists of finite number of sensors, each collecting asymptotically many data, while the second one employs asymptotically many sensors, each collecting a single datum. For binary hypothesis testing, the Neyman-Pearson criterion is utilized and justified via information theoretic arguments. Asymptotic relative efficiency performance measure is used to establish tradeoffs between the two structures, by comparing the performance characteristics of the decentralized detection systems to their centralized counter-parts.

引用

页码：32 / 43

页数：12

共 20 条

[1] HYPOTHESIS TESTING AND INFORMATION-THEORY [J].