Nonassisted Adaptive Algorithm for Data Fusion in Distributed Detection Systems

被引：4

作者：

David, Rodrigo Pereira ^{[1
]}

Sampaio-Neto, Raimundo ^{[2
]}

Medina, Cesar A. ^{[2
]}

机构：

[1] INMETRO, Natl Inst Metrol, Dept Telecommun, Ave Nossa Senhora Gracas 50 Duque Caxias, Rio De Janeiro, Brazil

[2] Pontifical Catholic Univ Rio de Janeiro PUC Rio, CETUC, Rua Marques Sao Vicente Predio Kennedy, Rio De Janeiro, Brazil

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2016年 / 52卷 / 03期

关键词：

DECISION FUSION;

D O I：

10.1109/TAES.2016.140869

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this work we propose a nonassisted adaptive fusion algorithm to perform data detection in distributed systems with a decode-then-fuse (DtF) type of receiver. Different from previously proposed fusion rules, where channel and nodes statistics are needed, the proposed algorithm adapts its weights and decision threshold based only on the received signals, so that time-varying scenarios or inhomogeneous systems are well suited. Computer simulations show that the proposed adaptive fusion strategy exhibits a performance very close to that of the optimal fusion rule.

引用

页码：1486 / 1493

页数：8

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