遗传算法抑制BOC(1,1)信号多径研究

Optimum Fitting Genetic Algorithm for Multipath Mitigation in Galileo BOC (1,1) Receivers

摘要: 针对传统方法无法有效抑制伽利略(Galileo) BOC (1,1)信号短时延多径的现状,将多径抑制问题转换为最优拟合问题,提出了一种有效估计短时延多径的方法。利用遗传算法不需要函数可导,且不易陷入局部最小值的特点,将其应用于最优拟合BOC (1,1)短时延多径信号的计算上,有效地减小了每个通道的伪距测量误差,提高接收机定位精度。给出应用该算法的具体步骤,仿真结果表明该方法可以更加有效地抑制短时延多径。

Abstract: Short delay multipath of Galileo BOC (1,1) signal can not be effectively mitigated by traditional methods.A method transforming multipath mitigation to optimum fitting is proposed.The Genetic algorthm is used in the mitigation of multipath to reduce the Galileo pseudo-range measurement error of each channel and improve positioning accuracy.The steps of the method are described,and the simulation result proves that the estimation of multipath by the method is affective.