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在高度计绝对定标实验中,利用差分GPS(Differential GPS,DGPS)浮标进行现场海面高测量得到的海面高(Sea Surface Height,SSH)序列之中,除了包含有由风浪引起的高频噪声外,还包括了仪器误差造成的影响。前者可通过低通滤波方式消除,而后者由于是全频段的白噪声,不能通过低通滤波的方式消除。通过研究奇异谱分析(Singular Spectrum Analysis,SSA)的方法,确定了嵌入维数和截断长度的选取准则,并对其进行仿真,验证了该方法在消除海面高序列的仪器误差噪声中的有效性,同时也验证了嵌入维数和截断长度选取准则的有效性。最后,利用该方法处理了某次DGPS浮标实验获得的海面高序列,处理结果与原始序列相比较为平滑,且在精度上有一定的改善,验证了奇异谱分析方法的有效性。
In the absolute calibration experiment of altimeter, Sea Surface Height (SSH) sequence obtained by on-the-spot sea surface height measurement using differential GPS (DGPS) buoy not only contains high frequency noise caused by wind and waves, It also includes the effects of instrumental errors. The former can be eliminated by low-pass filtering, which is eliminated by low-pass filtering since it is white-band full-band noise. Through the study of Singular Spectrum Analysis (SSA), the selection criterion of embedding dimension and truncation length is determined and simulated, and the effectiveness of this method in eliminating high-order instrument error noise is verified At the same time, the validity of selecting the embedding dimension and truncation length is verified. Finally, the high sea-level sequence obtained from a certain DGPS buoy experiment was processed by this method. The processing results were smoother than the original one and the accuracy was improved. The validity of the singular spectrum analysis method was verified.