Combined Positioning Algorithm And Accuracy Analysis For BD-2/GPS Positioning System

With the high speed growth of Science and Technology, at present, a total of four sets of satellite navigation system in the world: BD-2, GPS, GLONASS, Galileo. Due to the needs of military and civilian, BD-2/GPS integrated positioning systems have emerged. On the military and civilian user positioning accuracy requirements increasing, but the impact of positioning accuracy is largely caused by ionospheric and tropospheric delay error. However, due to the complex nature of the ionosphere and the troposphere, we can only use the empirical model to describe its impact. This paper mainly focus on the impact of the factors and solutions portfolio positioning system, the main contents are as follows:(1)We firstly introduce relevant theoretical knowledge of GPS and BD2 positioning system. Then the common coordinate system and convert between them have been introduced. Then convert between them compared detailed analysis and formula deduction. Lastly briefly GPS satellite positioning systems, including the composition and positioning principle of GPS system, and a detailed description of the manifestations of the GPS data.(2)BD-2/GPS integrated positioning algorithm are designed. The principle of satellite positioning, and then the text referred to the overall design of composite systems and information model solver. Then the paper describes the mathematical basis of pseudo-range positioning and least squares method, which is a combination of targeted solver foundation. Finally, the paper explains what combination system information fusion mechanism briefly.(3)On the basis of combination positioning algorithm model, the paper describes the influence of the ionosphere and the troposphere, which is the main impact on pseudorange measurements, and analyzes the causes of these effects. For the impact of ionospheric and tropospheric, the paper introduces Klobuchar model and tropospheric model, and analyzes their solutions. Finally, the text explains the Kalman model and its solution By field-road test,we get the actual data, after the appropriate data processing and analysis. The paper analyzes the positioning accuracy problems in or not in the presence of the ionosphere and troposphere model. The results proved that in the case of the ionosphere and troposphere model, the positioning accuracy of the integrated navigation system can greatly improve.