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ICEEMDAN在GNSS-MR海平面高度反演中的应用
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Abstract:
针对全球导航卫星系统多路径反射测量(GNSS multipath reflectometry, GNSS-MR)技术存在的信噪比(Signal-to-Noise Ratio, SNR)信号中掺杂噪声的问题，提出利用改进的自适应噪声的完全集合经验模态分解方法对原始信噪比数据进行分解，筛选出不含噪声的有效残差序列，实现去噪处理，再应用于GNSS-MR技术反演海平面高度。以西印度洋非洲东海岸MAYG测站GPS数据进行实验，结果表明该方法相比二次多项式拟合方法，均方根误差降低了29%，相关系数为0.98，验证了该方法应用于海平面测高的有效性。
For the problem of doping noise in Signal-to-Noise Ratio(SNR) signals existing in GNSS multipath reflectometry (GNSS-MR) technology, improved complete ensemble empirical mode decomposition with adaptive noise method is proposed to decompose the original Signal-to-noise ratio data, filter out the effective residual sequence without noise, implement denoising and applied to GNSS-MR technology to retrieve sea level height. Experiment with GPS data from MAYG station on the east coast of Africa in the western Indian Ocean, the results show that compared with the quadratic polynomial fitting method, the root mean square error has been reduced by 29%, the correlation coefficient is 0.98, the validity of the method applied to sea level altimetry is verified.
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