Vehicle rapid optimizing satellite selection positioning method based on GPS and Beidou double constellations

Abstract

The invention discloses a rapid optimizing satellite selection positioning method facing a vehicle. A global positioning system (Global Positioning System, GPS) and a Beidou navigation satellite system (BeiDou Navigation Satellite System, BDS) to realize accurate and real-time positioning of the vehicle in two modes. The method mainly comprises the steps of: completing a first stage of screening on the satellite through a carrier wave signal-to-noise ratio value; using an error model to correct a pseudo-range measuring value; receiving ephemeris data to obtain the position of the satellite; performing GPS and Beidou dual-mode pseudo-range positioning calculation to preliminarily solve the position of the vehicle; calculating an elevating angle and an azimuthal angle of the satellite; combined with a second stage of satellite selection algorithm to continue to carry out screening on the satellite; and performing the GPS and Beidou dual-mode pseudo-range positioning calculation again to finally determine the position of the vehicle at the current moment. According to the invention, compared with traditional single module vehicle navigation positioning based on GPS or Beidou, the positioning precision is higher and the system fault tolerance and reliability are better.

Description

technical field [0001] The invention relates to the field of vehicle navigation and positioning, in particular to a vehicle-oriented GPS and Beidou dual constellation rapid optimization star selection and positioning method. Background technique [0002] With the rapid development of the national economy, the number of motor vehicles in my country continues to increase. According to statistics, as of 2015, the total number of motor vehicles in the country has reached 264 million. The rapid increase in the number of motor vehicles has accelerated the emergence of various traffic problems. In order to improve transportation and reduce the occurrence of traffic accidents, in recent years, countries around the world have developed and researched a new generation of transportation systems - Intelligent Transportation System (Intelligent Transportation System, ITS) , aims to improve traffic conditions with the help of modern high technologies such as digital communication, vehicle...

AI Technical Summary

Problems solved by technology

As a new generation of autonomous satellite navigation system in my country, the completion of the Beidou system will provide the possibility to change my country's dependence on GPS. However, because the research started later than GPS, the current Beidou satellite navigation and positioning system has not been fully established, and the coverage area of ​​the constellation is small. There is still a certain gap with GPS in terms of orbit accuracy and observation data quality, resulting in low positioning accuracy

Therefore, GPS and Beidou dual-mode positioning has become a hot spot in current research. Dual-mode positioning does not have to be limited to a single system, which reduces the dependence on GPS and improves system security; at the same time, the organic combination of GPS and Beidou positioning system, Making full use of redundant satellite observation information can improve the self-integrity monitoring capability of the receiver and ensure the fault tolerance and reliability of the positioning results; in addition, under the dual constellation of GPS and Beidou, the number of visible satellites has increased significantly. In combination with the star selection algorithm, the spatial distribution of the constellation can be improved, the geometric precision factor of the positioning satellites can be reduced, and the accuracy of vehicle positioning can be effectively improved. However, the research on the traditional star selection algorithm is mostly aimed at a single GPS or Beidou system. When the number of visible satellites When there are too many, the calculation efficiency of the star selection algorithm is greatly reduced, thus affecting the real-time performance of positioning

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