Low Probability of Intercept-Based Power Allocation for Target Localization in Distributed Hybrid Active-Passive Radar Network

In this article, a power allocation strategy is proposed to reduce the intercept probability of the active radars in the distributed hybrid active-passive radar network. The key of the strategy is to optimize the transmit power of each active radar to minimize the total intercept power of the hostile receiver in view of the assist of illuminators of opportunity, such that the predetermined localization accuracy is achieved within an acceptable power range. Based on the existing Cramer–Rao lower bounds (CRLBs) of the active and passive radar networks, the Bayesian CRLB is derived to evaluate target localization accuracy. Furthermore, the strategy is formulated as a convex optimization problem, which is converted to semidefinite programming. Finally, the simulation results verify the presented strategy can provide superiority over other existing schemes in terms of the achievable low probability of intercept performance.