针对现代电子战中对低截获概率(LPI)技术的需求，该文提出了一种基于LPI性能优化的最优功率分配算法。该文首先推导了雷达组网系统的Schleher截获因子。然后，以最小化系统的Schleher截获因子为目标，在满足系统跟踪性能要求的前提下，通过优化组网雷达的功率配置，提升雷达组网系统的 LPI 性能。并用基于非线性规划的遗传算法(NPGA)对此非凸、非线性约束优化问题进行了求解。仿真结果验证了所提算法的有效性。%A novel optimal power allocation algorithm for radar network systems is proposed for Low Probability of Intercept (LPI) technology in modern electronic warfare. The algorithm is based on the LPI optimization. First, the Schleher intercept factor for a radar network is derived, and then the Schleher intercept factor is minimized by optimizing the transmission power allocation among netted radars in the network to guarantee target-tracking performance. Furthermore, the Nonlinear Programming Genetic Algorithm (NPGA) is used to solve the resulting nonconvex, nonlinear, and constrained optimization problem. Numerical simulation results show the effectiveness of the proposed algorithm.
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