关键词: 目标跟踪, 协同, 邻域拓扑结构, 传播概率, 捕捉增益

Abstract: Aiming at the problem of target tracking, a new algorithm for cooperative target monitoring and tracking is proposed based on neighborhood topology of nodes. According to communication differences when nodes share information, the approach calculates the capture gain of each node based on communication probability, through which the cluster members are determined and the precision of targets position is improved. Finally, the final area of the target is defined by the intersection of the nodes sensing area and the maximum range of target movement. The area centroid is calculated using the grid method. The simulation results show that the proposed approach outperforms other similar methods in both tracking accuracy and stability.

Key words: target tracking, cooperative, neighborhood topology, communication probability, capture gain