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Heterogeneous sensors data fusion for target tracking

机译:异构传感器数据融合,用于目标跟踪

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The subject of this paper is to study the algorithms fusing the asynchronous data from heterogeneous sensors for target tracking. Consider a 3D microwave radar and a 2D passive sensor colocated on same plate. The EKF is used for the tracking filtering. Both the fusion approach and the sequential approach are studied. Computer simulations show their effectiveness.
机译:本文的主题是研究融合来自异类传感器的异步数据进行目标跟踪的算法。考虑将3D微波雷达和2D无源传感器放置在同一块板上。 EKF用于跟踪过滤。研究了融合方法和顺序方法。计算机仿真表明了它们的有效性。

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