Network Cost Based Node Selection Strategy for Multiple Target Tracking in Netted Radar System

In this paper, a network cost based node selection (NCBNS) strategy is proposed to address the node selection problem for multiple target tracking (MTT) in netted radar system (NRS). In the NCBNS, we first establish a network cost model based on the clustering framework with both considering the cost of node scheduling and network transmission. Herein, the node scheduling cost is determined by the node we select when forming the cluster while the network transmission cost depends on the selection of the cluster head (CH) in a specific cluster. Then, the proposed strategy is formulated as a mathematical optimization problem of minimizing the network cost with the constraints of node number and the requirement of tracking accuracy. It is shown that the optimization problem is multi-objective and non-convex and we propose a sequential heuristic node selection algorithm (SHNSA) to solve it suboptimally. Finally, numerical results demonstrate the superior performance of the proposed strategy compared with a conventional strategy. Besides, it has great controllability in sensor scheduling.