CVVF方法用于GPS多路径效应的研究

Abstract

将交叉证认法与Vondrak数字滤波器相组合,提出一种分离测量资料中信号与噪声的新方法,即CVVF方法,并将该方法用于GPS多路径效应的研究中。对数字模拟试验和实际观测资料的分析表明,该方法能最大限度地削弱测量的随机误差,使资料序列中的信号和噪声合理分离。同时,利用GPS多路径效应周期性重复的特性,可有效地削弱多路径效应对观测结果的影响,从而提高GPS定位精度。 A new data filtering method named CVVF method, based on Vondrak filter and the technique of cross-validation, is developed for separating signal and noise in data series, and applied to study of GPS multipath effects. Numerical simulation studies and real experiments indicate that the method is a powerful signal decomposer, which can significantly mitigate the random error of measurement and separate successfully signal and noise. The day-to-day repeating property of GPS multipath signal can be applied to remove efficiently the multipath disturbances in the subsequent day’s GPS measurement, and therefore improve the quality of the GPS coordinate results.