Joint Node Selection and Power Allocation in Phased Array Radar Network With LPI Property and Spectral Compatibility for Multitarget Tracking

In this article, a joint node selection and power allocation (JNSPA) strategy based on low probability of intercept (LPI) is proposed in a phased array radar network (PARN) for multitarget tracking (MTT). The joint optimization problem is formulated with a minimization of the total interference energy from a PARN to communication devices under constraints of the tracking level of each target and an LPI value of the system. To solve the proposed nonconvex problem, a two-stage optimization strategy is exploited. Specifically, a heuristic algorithm is first used to determine the target set that needs to be tracked at the current time, and a particle swarm optimization (PSO) with a compression factor is then adopted to solve the subsequent problem. Numerical simulations show that compared with traditional algorithms, the proposed algorithm can effectively improve the spectrum compatibility capability and the LPI performance of the system.