基于混合遗传算法的m序列波形优化设计

Novel m-sequences waveform design using the hybrid genetic algorithm

现代雷达体制多采用大时宽带宽积的m -序列二相编码脉冲压缩波形 ,解决信号波形优化问题即使信号波形的脉压比在尽量少损失SNR和主瓣宽度的基础上达到极值。对于m -序列 ,初始寄存器的选取是关键。对于较长的码 ,传统的优化方法由于运算量过大造成组合爆炸或陷入局部极值而无法找到最优 ,传统遗传算法也由于初始种群数的规模运算量比较大 ,将梯度搜索和遗传算法相结合的混合遗传算法很好的解决了这个问题 ,通过优化m

Pulse compression waveform design suitable for applications requiring low peak powers and large compression ratios is a key technique for modern radar. For m-sequences, the selection of initial register is a key technique. A novel binary code hybrid genetic algorithm (HGA) using gradient-like reproduction operator is presented to select the best initial register. By compared with other traditional algorithm, HGA is a global stochastic searching method, low complexity and can converge quickly. The simulation and performance analysis demonstrate the feasibility and validity of this algorithm.