Resource Management for Target Tracking in Distributed Radar Network System

Distributed radar network systems can provide significant performance improvement for target tracking. For a fixed radar network, the achievable target tracking performance may beyond a specified threshold with full transmitting energy, which poses a serious risk to radar network and increases the vulnerability of the whole system in modern electronic warfare. In this paper, the problem of low probability of intercept (LPI) based resource management for target tracking in distributed radar network architecture is investigated. The authors' goal is to trade off the LPI performance and the target tracking accuracy. With the radar network system model, an optimal resource management scheme is presented to minimize the overall resource burden by optimizing time of the measurement and transmitting energy while guaranteeing a required level of target tracking performance. Simulation results demonstrate that the proposed scheme can effectively achieve the optimal solution and bring a significantly improved LPI performance in practical scenarios.