The Research And Implementation Of Satellite Positioning Error Compensation Method Based On Cloud Computing

When global satellite navigation system provides users with location-based services,the satellite signal will be influenced by the natural environment and the equipment, whichcan lead to a deviation in the position resolving of the user receiver. Therefore, in order toimprove the accuracy of satellite positioning, how to eliminate sources leading to thesatellite positioning error have become a current research focus. In this paper, cloudcomputing technology is applied to the field of satellite positioning, cloud computing errorprocessing applications architecture is established by using the satellite data resourcesharing, storage and computing power between multi-satellite systems and multiplereceivers, and also cloud computing-based satellite positioning error compensation methodis provided, which achieves the diversity of data sources, as well as the real-time nature ofthe error handling, and finally the positioning accuracy of the user receiver is improvedeffectively in real-time. The research contents and achievements of this paper are mainlyconcluded by the following aspects:(1) Based on analyzing cloud computing layered architecture and the characteristics,the satellite error processing application architecture in the cloud computing environment isestablished, which uses the satellite data from different satellite navigation system, differentuser receiver terminal and satellite observation time to build new error processingapplications.(2) By analyzing the type of positioning error sources as well as the status of satellitepositioning error compensation method, under the cloud error processing applicationarchitecture, the cloud-based satellite positioning error compensation method is proposed.Through lateral interaction of the multi-source data from multi-satellite navigation system,multi-user receiver and more observation time, single receiver can directly interact with thecloud to be able to eliminate the satellite positioning errors without the aid of the otherreceiver devices, which improves accuracy of receiver positioning.(3) Through revealing the influence of ionospheric delay in the natural environment tosatellite positioning, and the electron content in the ionosphere changes with change oflatitude, season, solar activity, the constraint condition of relevant historical data extractionin the cloud data center is proposed, the cloud-based satellite positioning ionosphere delaycompensation model is established, the solving method for ionosphere delay compensation model is provided, and finally effectiveness of compensation model is verified byexperiment.(4) On the basis of the different receivers in the same time at the same location for theionospheric delay compensation, associated errors between the different receivers and thebasic structure of the different manufacturers of the same system within the receiver isanalyzed, the reason for different level of positioning accuracy in the same place at the sametime is detailed, the receiver error compensation model based on cloud computing isestablished, and gives a solution to the model, and finally the correctness of the model isverified through the use of the experimental analysis method to further improve the userreceives positioning accuracy of the machine.