Underwater target tracking by means of acoustic and electromagnetic data fusion

被引：0

作者：

Dalberg, E. ^{[1
]}

Lauberts, A. ^{[1
]}

Lennartsson, R. K. ^{[1
]}

Levonen, M. J. ^{[1
]}

Persson, L. ^{[1
]}

机构：

[1] Swedish Def Res Agcy, SE-17290 Stockholm, Sweden

来源：

2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2006年

关键词：

tracking; localisation; bearing estimation; kalman filter; data fusion;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An interesting possibility for improved surveillance capabilities in littoral waters is the integration of multisensor systems by means of data fusion. Here, we describe how data fusion can be used for localisation and tracking of targets by means of passive underwater acoustic and electric field sensors. The data was fused using a Kalman filter. The filter was applied on bearing estimates from the acoustic data and estimates of the target position from the electrode array. The results show the positions of the targets are gained by fusion between the acoustic bearing and the electrode sensors, within the limits of their sensitivity.

引用

页码：377 / 383

页数：7

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