Abstract
To further improve low probability of intercept (LPI) performance of radar network system, this paper presents a novel optimization model of radiation power and dwell time for radar network according to the advantages of joint optimization for phased array radar. Firstly, we modify the classical intercept probability and make it be suitable for radar network. Then, as the target detection is a binary hypothesis test problem, we take the radiation power and dwell time into the deduction process of the optimal detector, and Bhattacharyya distance is introduced to be the threshold of target detection for the receiver operation characteristics (ROC) of radar network system since that optimal detector is lack of closed-form expression. Finally, with the nonlinear programming genetic algorithm (NPGA), the LPI performance of radar network system is optimized by optimizing the radiation power and dwell time of each radar to meet the requirements of target detection performance. Numerical simulation results show that the intercept probability of proposed model is reduced by up to 75.66% compare with the system of only optimized the radiation power, which has better LPI performance.
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