Shao-Long Dong

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A new neural network aided unscented Kalman filter is presented for tracking maneuvering target in distributed acoustic sensor networks. In practice, the system dynamics of these problems are usually incompletely observed, there may be large modeling errors when the target is maneuverable and some parameters of the system models may be inaccurate. So we(More)
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