摘要
GPS观测数据中混入的噪声会导致定位精度大大降低。针对传统的小波阈值降噪方法在阈值函数和阈值选取方面的不足,设计了一种新型半软阈值函数,利用涡流搜索算法和广义交叉验证实现了分层阈值的自适应确定。改进后的方法不需要先验知识,操作简单,鲁棒性好。数值仿真验证了该方法可以显著降低GPS定位误差。
The noise mixed in the GPS observation data will lead to a significant reduction of positioning accuracy. For the shortcomings of traditional wavelet threshold denoising methods in threshold function and threshold selection, a new semisoft threshold function is designed. The hierarchical threshold is determined adaptively by vortex search algorithm and generalized cross-validation. The improved method does not require a prior knowledge, and is easy to use, yet of strong robustness. Numerical simulations verify that this method can significantly reduce the GPS positioning error.
出处
《应用数学进展》
2019年第11期1708-1715,共8页
Advances in Applied Mathematics
基金
本文受到气动噪声控制重点实验室2018年度开放课题(1801ANCL20180303)的资助。
