LPI-based Resource Allocation Strategy for Target Tracking in the Moving Airborne Radar Network

Considering tracking a target equipped with an intercept receiver in the electronic warfare environment, how to balance the system resource to achieve the pre-defined tracking requirement and enhance the systems survival capability is significant for the moving airborne radar systems(ARS) network. This paper proposed a novel low probability of intercept(LPI) based resource allocation (LPI-RA) strategy for target tracking in the moving airborne radar network. Firstly, the target tracking requirement is introduced according to the posterior Cramer-Rao lower bound (PCRLB) for the moving platform and the pre-set threshold. Then, the intercept probability of the intercept receiver is calculated for each moving node in the network, which indicates the LPI performance of the single radar station. Based on these two aspects of system requirements, a novel weighted objective function is established and a non-convex problem containing both continuous and binary variables is proposed and solved by a two-step fast solution algorithm. Correspondingly, the LPI-RA strategy is formulated by adjusting the radar nodes and transmitting power in the moving network to achieve the predetermined target tracking accuracy and reduce the intercept probability of the network system. Finally, the simulations are given to validate the superiority of the proposed strategy over the traditional allocation strategies.