基于模拟退火遗传算法的波束图设计  

Beam Pattern Synthesis Based on Simulated Annealing Genetic Algorithm

作　　者：宋志宏[1,2] 张争气[1] 周宇鹏[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072 [2]西安微电子技术研究所,陕西西安710054

出　　处：《微电子学与计算机》2011年第4期131-134,共4页Microelectronics & Computer

摘　　要：针对传统的标准遗传算法应用于传感器阵列的波束图设计时,存在收敛速度慢和计算结果稳定性低的问题,文中提出了一种模拟退火遗传算法.该算法对标准遗传算法的适应度函数、交叉算子和异化算子等多个要素分别进行了改进,并融入了模拟退火算法.模拟退火遗传算法应用于波束图设计时,具有较快的收敛速度和较高的稳定性.仿真结果表明基于该算法的波束图设计方法,获得了比传统方法旁瓣级更低的波束图.This paper proposes simulated annealing genetic algorithm （SAGA）, considering the fact that the conven- tional standard genetic algorithm （SGA） suffers from shortcomings such as slow convergent speed and low stability when applied to when applied to beam pattern synthesis of an array. The improved algorithm makes some improve- ments in several factors of SGA, which include fitness function, crossover operator and mutation operator. In addi tion, annealing algorithm （SA） is also introduced into this algorithm. The convergent speed and stability are both effectively promoted separately, when SAGA is applied to beam pattern synthesis. The results of simulation show that the proposed method achieves a much lower sidelobe level （SLL） than conventional method.

关 键 词：波束图 模拟退火遗传算法 收敛速度 稳定性 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]