Abstract:

While facing the research of tracking oriented sensor management, the traditional way focuses on the precision of tracking. But the essential demand of the sensor resources is to improve or maintain the resolvability among different targets at the segment of data association, and the bias of demand leads to unreasonable distribution of sensor resources. According to the theory of information geometry, the resolvability defined by Fisher information distance in manifold is proposed. Then the distribution strategy of sensor resources is established based on the resolvability among targets directly. Compared with the traditional way, the simulation results show that the proposed method effectively improves the valid association rates.