摘要
提出一种混合离散粒子群算法,并应用于正交相位编码波形设计。该算法以归一化自相关旁瓣峰值能量与互相关峰值能量的加权和为代价函数,将遗传算法、模拟退火算法思想引入离散粒子群算法,加入了粒子间信息交流策略和扰动策略,提高了算法的效率,增强了算法的全局搜索能力。仿真结果表明,提出的算法可行、高效。
A novel hybrid particle swarm optimization is proposed and applied to the design of polyphase orthogonal code. Weighted sum of the autocorrelation and cross-correlation peak and energy is used as cost function. The genetic algorithms and simulated annealing are put into the particle swarm optimization, and the communion operation and disturbance operation are also added to the algorithm. Thus, this algorithm efficiency is improved, and the globe convergence is enhanced. The simulation results show that the proposed novel hybrid particle swarm optimization is feasible and effective in the design of polyphase orthogonal code.
出处
《现代防御技术》
北大核心
2009年第6期77-81,134,共6页
Modern Defence Technology
关键词
正交多相码
粒子群算法
遗传算法
polyphase orthogonal code
particle swarm optimization
genetic algorithms
