CEEMD联合小波阈值去噪法及其在GPS多路径效应中的应用

Denoising Method Based on CEEMD and Wavelet Threshold and its Application in GPS Multipath Effect

为了解决GPS数据采集过程中的噪音以及多路径效应影响,提出一种CEEMD联合小波阈值去噪法。该方法主要先采用CEEMD算法对GPS测量数据或信号进行分解,再利用模态相关系数准则法确定数据分解后噪音区与信号区的分界点,最后选取判定后的有效信号分量并依次将其通过小波软阈值法进一步去噪,从而得到去噪后的GPS测量数据或信号。通过正弦模拟信号和GPS实测信号实验结果可以看出,联合去噪法与其他相关方法比较,具有较好的去除噪声以及削弱GPS多路径效应影响效果。

In order to solve the problem of noise and multipath effect in GPS data acquisition, aCEEMD combined wavelet threshold denoising method is proposed. In this method, the CEEMD algorithm is used to decompose the GPS measurement data or the signal, and then the modal correlationcoefficient criterion method is used to determine the boundary point between the noise zone and thesignal area after the decomposition of the data. Finally, the effective signal component is selected andpassed Wavelet soft threshold method to further denoise, resulting in denoising after the GPS measurement data or signal. By comparing the above method with other related methods, the experimentshows that the above method can achieve better results, and finally it is used to measure GPS multipath error correction.