HYBRID MAXIMUM A POSTERIORI ESTIMATION UNDER COMMUNICATION CONSTRAINTS

被引：0

作者：

Nerurkar, Esha D. ^{[1
]}

Roumeliotis, Stergios I. ^{[1
]}

机构：

[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年

关键词：

Distributed MAP estimation; wireless sensor network; communication constraints; DISTRIBUTED ESTIMATION; QUANTIZERS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We consider the problem of joint-state estimation for mobile wireless sensor networks (WSN) using noisy analog observations from spatially-distributed sensors. Due to communication bandwidth constraints, sensors can transmit only quantized observations. As opposed to existing estimators that process either only quantized or only analog observations, we develop a Maximum A Posteriori-based hybrid estimation framework that enables each sensor to utilize its own local analog observations as well as quantized observations received from other sensors to improve estimation accuracy.

引用

页码：4898 / 4902

页数：5

共 20 条

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