摘要
由于DOA参数估计中的搜索算法无法满足实时性的要求,本文提出在空间谱估计中使用遗传算法来提高搜索速度。鉴于传统遗传算法存在收敛速度慢和早熟的问题,本文选用自适应遗传算法。文中对遗传过程中初始群体选取、选择、交叉和变异的各阶段进行了改进,并解决了收敛速度慢和早熟的问题。最后通过计算机仿真进一步证明算法的有效性和鲁棒性。
Since search algorithm of DOA parameters estimation cannot meet the requirement of real time performance, genetic algorithm is adopted in the spatial spectrum estimation to improve the search speed. The adaptive genetic algorithm is selected due to slow convergence and pre-maturity of conventional genetic algorithm. The selection of initial group, crossover, and mutation are modified and slow pre-maturity and pre-maturity are also resolved. In the end, its validity and robust performance is verified by computer simulation.
出处
《电子信息对抗技术》
2007年第4期12-14,共3页
Electronic Information Warfare Technology
关键词
波达方向估计
自适应遗传算法
选择
自适应交叉和变异
direction of arrivals
adaptive genetic algorithm
selection
adaptive crossover and mutation
