基于混沌遗传算法的雷达/干扰机共享信号设计

雷达/干扰机共享信号的波形设计是电子战中实现雷达/干扰机作战系统能量共享的关键。针对共享信号的性能设计问题，提出了一种新型的混合混沌遗传优化算法。采用改进的tent混沌系统初始化种群，将混沌特性嵌入到自适应遗传算法的循环体中，分别设计分段混沌交叉算子和退化混沌变异算子，避免了搜索过程陷入局部极值的陷阱而快速收敛于全局最优解。通过实验证明，该方法能够较快地搜索到优化问题的最优解，验证了混沌遗传算法对雷达/干扰机共享信号优化问题的有效性。

Design of radar/jammer shared signal based on chaos genetic hybrid algorithm

Design of radar and jammer share signal waveform is the key of energy sharing for radar and jammer integration system in electronic warfare. A new chaos genetic hybrid algorithm was proposed. The improved tent chaos system was used to initialize species population. Chaos characteristic was added into adaptive genetic algorithm circle. A new chaotic section crossover operator and a chaos annealing mutation operator were designed to avoid search being trapped in local minimum and convergence to a global minimum. The experimental results show that the proposed algorithm can get globally optimal solution quickly, and chaos genetic algorithm can solve the problem of radar and jammer shared signal optimization effectively.