利用窗口小波去噪的高精度动态单历元定位算法
A Precise Kinematic Single Epoch Positioning Algorithm UsingMoving Window Wavelet Denoising
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摘要: 为提高动态单历元定位的精度和实现实时处理,提出了一种利用窗口小波去噪的高精度动态单历元算法。该算法首先利用常规单历元方法获得观测值残差,在当前历元右侧通过数据延拓来改善端部效应的影响,然后利用窗口小波对当前历元观测值残差去噪,通过交叉证认实现小波去噪分解层数的自适应选取,最后利用去噪后得到的较为干净的观测值实现最终定位。实验结果表明,与常规单历元定位相比,在不同的运动情况下,该方法的定位精度均有较大的提高,与小波后处理结果一致。Abstract: In order to improve kinematic single epoch positioning accuracy and realize real-time pro-cessing,the article presents a precise kinematic single epoch positioning algorithm using moving win-dow wavelet denoising.Firstly,we obtain the observation residuals by using the conventional singleepoch method and improve end effect by data extending apart of the current epoch.Secondly,wedenoise the current epoch observation residuals using a window wavelet,and achieve an adaptive selec-tion of the wavelet decomposition level for denoising through cross-validation.Finally,we achieve fi-nal positioning accuracy using the clean observations,after denosing.Comparing the proposed methodwith conventional single epoch positioning,experimental results show that positioning accuracy hasbeen improved greatly for different motions.The results were consistent with those from wavelet postprocessing.
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