CAJ | 학술논문

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.
통과연구단파신도중적Watterson모형,장선성계통맹균형중적최대봉도준칙여수출신호적판결인도균방오차상결합,작위단파신도적맹균형산법.침대전통제도수색방법용역함입국부수렴문제,제출이용실수편마적유전산법대준칙함수진행최우화수색.방진실험표명,해산법수렴속도쾌화정학도고,능구대대제고균형후적수출신조비.
A new blind equalization algorithm for Watterson model was proposed, based on kurtosis criterion which was often used in linear blind equalization problem and decision directed of output signal. To overcome the drawback of traditional gradient search approaches, likely falling 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.