A HYBRID GMM/SMC DIFFUSION BERNOULLI FILTER FOR JOINT DISTRIBUTED DETECTION AND TRACKING

被引：0

作者：

Dias, Stiven S. ^{[1
]}

Bruno, Marcelo G. S. ^{[2
]}

机构：

[1] Embraer SA, BR-12227901 Sao Jose Dos Campos, SP, Brazil

[2] Inst Tecnol Aeronaut, BR-12228900 Sao Jose Dos Campos, SP, Brazil

来源：

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

关键词：

Bernoulli Filter; Sequential Monte Carlo; Diffusion; RSS Sensors; Joint Detection and Tracking; CONSENSUS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We introduce in this paper the Random Exchange Diffusion Bernoulli Filter (RndEx-BF), which enables joint target detection and tracking by a network of collaborative sensors. RndEx-BF is a fully distributed algorithm that, unlike consensus-based solutions, does not require iterative internode communication between sensor measurements. Internode communication cost is further reduced by a novel hybrid GMM/SMC implementation of the proposed filter. Experimental results show that RndEx-BF approaches the performance of a flooding-based implementation of the optimal centralized Bernoulli filter with much lower bandwidth requirements.

引用

页码：4020 / 4024

页数：5

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