Research on the Error of Global Positioning System Based on Time Series Analysis

• DOI: 10.3390/s22103614
• Publication Date: 2022-05-11T01:52:11Z
• Authors: Lijun Song; Lei Zhou; Peiyu Xu; Wanliang Zhao; Shaoliang Li; Zhe Li
• Keywords: Partial autocorrelation function; Geographic coordinate system

Due to the poor dynamic positioning precision of Global Positioning System (GPS), Time Series Analysis (TSA) and Kalman filter technology are used construct error GPS. According statistical characteristics autocorrelation function partial sample data, Autoregressive (AR) model which is based on a determined, GPS combined with eliminate random in data. The least square method for parameter estimation adaptability tests, experimental results show that absolute value maximum longitude latitude, mean latitude average all reduced, after correction has been significantly improved.