NOISE ANALYSIS ON GPS COORDINATE TIME SERIES BASED
ON MAXIMUM ENTROPY SPECTRUM ESTIMATION
1) School of Earth Sciences and Engineering, Hohai University, Nanjing 210098
2) Department of Environment and Planning, Shangqiu Normal University, Shangqiu 476000
Abstract According to the extraction of GPS coordinate series in Sutong Bridge, db6 wavelet function decomposes the same monitoring point time series for different time observations into five layers and denoising processes, and gets noise sequences. Then we analyze the signal noise characteristics of GPS coordinate component by using the method of maximum entropy spectrum estimation, and compared with the method in traditional spectrum analysis. The results indicate that GPS coordinate time series mainly contain white noise and flicker noise, the random walk noise is not obvious. So that, analyzing the time series obtained by the GPS observation, the noise property should be taken into account and the observations should be weighted correctly in order to fit the actual situation.
