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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。
In view of the fact that the traditional method can not effectively suppress the short-time multipath in Galileo BOC (1,1) signal, the multi-path suppression problem is transformed into the optimal fitting problem, and an effective estimation method for short-time multipath method. The genetic algorithm, which does not need functions to guide and is not easy to fall into the local minimum, is applied to the computation of optimally fitted short-time multipath BOC (1,1) signals, which effectively reduces the number of each channel Pseudo-range measurement error, improve receiver positioning accuracy. The concrete steps of applying this algorithm are given. The simulation results show that this method can suppress short-time multipath more effectively.