摘要
通过研究短波信道中的Watterson模型,将线性系统盲均衡中的最大峰度准则与输出信号的判决引导均方误差相结合,作为短波信道的盲均衡算法.针对传统梯度搜索方法容易陷入局部收敛问题,提出利用实数编码的遗传算法对准则函数进行最优化搜索.仿真实验表明,该算法收敛速度快和精确度高,能够大大提高均衡后的输出信噪比.
A new blind equalization algorithm for Watterson model was criterion which was often used in linear blind equalization problem and decision overcome the drawback of traditional gradient search approaches, likely falling proposed, based on kurtosis directed of output signal. To into local minimum, the real coded genetic algorithm was adopted to search the optimum solution. Simulation results demonstrated the algorithm not only had fast convergence rate and high accuracy, but also could greatly improved the output signal noise ratio.
出处
《安徽大学学报(自然科学版)》
CAS
北大核心
2009年第3期39-43,共5页
Journal of Anhui University(Natural Science Edition)
基金
国家自然科学基金资助项目(60672157
60672158)
关键词
短波信道
盲均衡
最大峰度准则
判决引导
遗传算法
short-wave channel
blind equalization
maximum kurtosis criterion
decision directed
genetic algorithm