一种基于遗传算法的自适应参数型多径时延估计  

An Adaptive Parameter Approach for Multipath Time Delay Estimation Based on Genetic Algorithm

作　　者：熊秋犇[1] 杨景曙[1] 王江[1] 

机构地区：[1]电子工程学院702室,合肥230037

出　　处：《电子信息对抗技术》2010年第1期15-20,共6页Electronic Information Warfare Technology

摘　　要：基于四阶累积量的自适应参数型多径时延估计(FOC-APMTDE)算法只能直接估计整数倍采样间隔的时延,为了克服此缺点,引入遗传算法进行时延估计的寻优,保留了FOC-APMTDE算法良好的抑制相关或非相关高斯噪声的性能,在低信噪比的情况下可以准确地直接估计非整数倍采样间隔的时延。计算机仿真试验验证了新方法的有效性。The adaptive parameters approach for multipath time delay estimation based on fourth-order cumulants （FOC-APMTDE） can only directly achieve time delay which is the integral sample period. To overcome this disadvantage, genetic algorithm is employed for optimizing search process of time delay estimation. This method holds good performance of suppressing correlated or non-correlated Gaussian noises, and it can achieve time delay which is the nonintegral sample period accurately and directly at a low signal-to-noise ratio environment. The simulation examples are presented to demonstrate the effectiveness of this new method.

关 键 词：多径时延估计 自适应 四阶累积量 遗传算法 

分 类 号：TN971.1[电子电信—信号与信息处理]