摘要
为使抗干扰通信系统能够更好地实现参数自适应调整功能,在传统频率、功率自适应的基础上研究频率、功率、信道编码码率、调制方式四种参数的自适应。设计了一种基于模拟退火遗传算法(SAGA,Simulated Annealing Genetic Algorithm)的通信抗干扰决策引擎,并给出了该算法计算流程。在六种不同模式下对算法性能进行了仿真分析,结果表明,该算法能够实现决策引擎参数的自适应选择,并且提高了标准遗传算法的收敛速度,增强了标准遗传算法的爬山能力。
To improve the scientism and efficiency of anti-jamming,multiple-parameter adaptation in anti-jamming communication decision engine based on Simulated Annealing Genetic Algorithm（SAGA） is designed,the calculation procedure of the proposed method is given.Experimental results show that the decision engine could realize the adaptive parameters selection,enhance the hill-climing capability and the convergence speed of standard genetic algorithm.
出处
《通信技术》
2011年第5期8-11,共4页
Communications Technology
