Sensor Selection for Multi-target Tracking in Phased Array Radar Network Under Hostile Environment
Jinhui Dai, Junkun Yan, Shenghua Zhou, Penghui Wang, Bo Jiu, Hongwei Liu · 2020
In this paper, a novel sensor selection scheme is presented for multi-target tracking (MTT) in phased array radar (PAR) network under hostile environment. We consider a scenario that the active PARs transmit beams to track multi-targets, meanwhile, the enemy targets equipped with passive radars can collaboratively locate positions of PARs according to the intercepted signals. The main idea of this scheme is to appropriately adjust the beams of multiple PARs, with the aim of improving their MTT performance while decreasing the tracking capability of the enemy targets. We formulate the sensor selection scheme as a non-convex optimization problem, and solve it through convex relaxation and a proposed two-step solution technique. Simulation results demonstrate the superior performance of the proposed method when compared with the traditional random beam allocation scheme.