Title: A New Method of Random Error Separation of Tracking Data
Abstract: The problem of random error separation of tracking data was considered. The method of building mathematical models to fit the trend part is complicated. The wavelets transform method is required to determine the wavelet basis and the number of decomposition in advance. The empirical mode decomposition method has the problem of mode mixing and it always overestimates the number of modes,the residual of EMD may not necessarily closely approach the trend parts. On the basis of EMD based measurement data error extraction method,an ensemble EMD based measurement data error separation method was proposed. According to the property of frequency and energy of each mode of EMD,an energy-ratio method was used to determine the number of mode that can represent the trend,thus extracting the measurement data error. Simulations and measured data prove the practicality and effectiveness of this method.
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
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