Multi-Target Tracking With Dual-Functional Radar-Communication UAV Swarm

In this letter, we propose a power control algorithm for a dual-functional radar-communication (DFRC) unmanned aerial vehicle (UAV) swarm in a multi-target tracking (MTT) scenario. During MTT, UAVs need to communicate with others to exchange information and detect targets simultaneously. To measure sensing accuracy, we first derive the Cramer-Rao bound (CRB) of sensing in 3-D space. Then, an interference minimization problem under the constraint of UAV’s flying ability, communication quality, and sensing accuracy is proposed to balance the performance between communication and sensing while controlling the inter-UAV interference. The formulated problem is solved by decomposing it into three sub-problems due to its intractability, and a signal-to-interference-plus-noise ratio (SINR) and CRB-aware power control algorithm based on mean field game (MFG) is proposed for the power control sub-problem. Simulation results demonstrate that our proposed power control algorithm reduces the interference and cost and improves communication performance simultaneously, compared to conventional schemes.