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This paper presents a new target tracking and the possible changing bias registration approach based on sensor selection for large-scale distributed sensor networks. We try to address this target tracking problem at the following three steps. Firstly, local-level tracking is addressed based on the estimated sensor biases for each sensor, and only the state estimates are transmitted to the fusion center;...
A time-differential measurement based algorithm is provided for multi-sensor target tracking. This approach decouples the sensor registration and estimation by handling the original measurements. Thus, estimation can be carried out without considering sensor registration, and then, the registration errors are subsequently corrected. It is shown that this algorithm is more computation efficient than...
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