Robust Kalman filter-based decentralised target search and prediction with topology maps.
IET Wireless Sensor Systems(2018)
摘要
A novel distributed approach for searching and tracking of targets is presented for sensor network environments in which physical distance measurement using techniques such as signal strength is not feasible. The solution consists of a robust Kalman filter combined with a non-linear least-square method, and maximum likelihood topology maps. The primary input for estimating target location and dire...
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关键词
distance measurement,Kalman filters,least squares approximations,object detection,RSSI,target tracking
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