Underwater target tracking by means of acoustic and electromagnetic data fusion
Underwater target tracking by means of acoustic and electromagnetic data fusion
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DOI：
10.1109/icif.2006.301613
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发表时间：
2006-07
期刊：
影响因子：
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通讯作者：
E. Dalberg;A. Lauberts;R. Lennartsson;M. Levonen;L. Persson
中科院分区：
文献类型：
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作者：
E. Dalberg;A. Lauberts;R. Lennartsson;M. Levonen;L. Persson
提高沿岸的沃茨监视能力的一个有趣的可能性是通过数据融合的方式整合多传感器系统。在这里，我们描述了如何数据融合可以用于定位和跟踪目标的被动水下声学和电场传感器。使用卡尔曼滤波器融合数据。该滤波器应用于从声学数据的方位估计和从电极阵列的目标位置的估计。结果表明，在各自的灵敏度范围内，通过声方位和电极传感器的融合，可以得到目标的位置信息
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