Ground target tracking using acoustic sensors

被引：0

作者：

Ekman, Mats ^{[1
]}

Davstad, Kjell ^{[1
]}

Sjoberg, Lars ^{[1
]}

机构：

[1] Saab AB, SE-17588 Jarfalla, Sweden

来源：

2007 INFORMATION DECISION AND CONTROL | 2007年

关键词：

D O I：

暂无

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 the tracking of ground targets using acoustic sensors, distributed in a wireless network, is studied The solution to the tracking problem is given within the Bayesian recursive framework. A particle filter (PF) is developed which includes a data association technique based on joint probabilistic data association (JPDA) and a method for handling road constraints. Validation and evaluation of the tracking algorithms are performed using real data extracted from a ground sensor network. The tracking of the targets shows a satisfactory result.

引用

页码：27 / +

页数：2

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