Beidou coordinate time sequence prediction method and device, equipment and storage medium

Abstract

The invention discloses a Beidou coordinate time sequence prediction method, device and equipment and a storage medium, and the method comprises the steps: carrying out the interpolation processing of original data of a Beidou coordinate time sequence, and obtaining initial data; decomposing the initial data to obtain first data, second data, third data and fourth data; performing fitting prediction on the first data, the second data, the third data and the fourth data; obtaining first fitting data and first prediction data of the first data, second fitting data and second prediction data of the second data, third fitting data and third prediction data of the third data, and fourth fitting data and fourth prediction data of the fourth data; determining a fitting parameter and a prediction parameter of the coordinate time sequence according to the first fitting data, the second fitting data, the third fitting data, the fourth fitting data, the first prediction data, the second prediction data, the third prediction data and the fourth prediction data; and evaluating the precision of fitting prediction based on the fitting parameters and / or the prediction parameters.

Description

technical field [0001] The invention relates to the technical field of satellite navigation, in particular to a method, device, equipment and storage medium for predicting time series of Beidou coordinates. Background technique [0002] The Beidou Satellite Navigation System (BDS) is a global satellite navigation system independently developed by my country. It provided free and open services to the Asia-Pacific region at the end of 2012. The Beidou coordinate data accumulated in recent years has provided rich basic data for geodesy and geodynamics research, and also provided solid data support for the study of Global Navigation Satellite System (GNSS) coordinate time series. The accurate prediction of Beidou coordinate time series is of great significance to the deformation monitoring of buildings, climate and meteorological prediction, and the research on crustal deformation in the region. Existing studies have pointed out that the GNSS coordinate time series has obvious ...

AI Technical Summary

Problems solved by technology

The above research has promoted the research and development of GNSS coordinate time series, but the long-term prediction model for Beidou coordinates still has the following deficiencies: ① Most time series models at this stage have defects such as complex modeling, poor stability, and inability to dynamically adjust model parameters; ② The model has high requirements on coordinate data, the modeling accuracy is easily affected by gross errors, and the adverse effects of missing data are not taken into account; ③The constructed model lacks long-term scale forecasting capabilities, and rolling forecasts are required to maintain model accuracy during forecasting, which increases the Model operational difficulty and runtime

However, there is currently no effective solution

Images