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The Research Of Optimization Of Processing Technology Of Satellite Navigation Data

Posted on:2011-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y ZhuangFull Text:PDF
GTID:2178330338489810Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
This article is based satellite navigation system,focus on the satellite navigation system Kalman filtering technique.First, this research on the Kalman filtering technique in the domestic and international background and current situation and prospects in the development of general introduction.Secondly, the introduction of the ordinary Kalman filter as well as his problems and shortcomings,and then introduce the extended Kalman filtering technique,and pointed out the shortcomings of EKF algorithm.Finally, the problems above described filtering technique which is suitable for nonlinear system using Unscented Kalman Filter Algorithm.Again,the for the sport model has also made a series of discussions. Introduced some common target motion model and motion models of several relatively specific, and a brief analysis of their strengths and weaknesses. Kalman filtering is also introduced in satellite navigation and positioning system observation model, analysis of the various types of observation error on the impact of filtering.Finally,focuses on the Kalman filtering technique in the satellite navigation system. Kalman filter process model through the target movement model and the clock error model was assumed, based on "current" statistical model and the curve of particle motion model based on relative motion model switching process as a Kalman filter model. Since then define a real-time weighted covariance matrix of measurement noise, and use real data to demonstrate the real-time measurement noise covariance matrix weighted validity. Using UKF and EKF two different algorithms in the actual test data obtained were analyzed in comparison, through field experiments, to make assessment on the Kalman filtering technique in satellite navigation system.The results show that the UKF algorithm as satellite navigation systems Kalman filtering technique, compared with the conventional filtering technique can obtain higher accuracy;The mapping results compared with the commercial data processing software can meet the accuracy requirements.The algorithm can be directly applied to the satellite navigation system software...
Keywords/Search Tags:kalman filter, GNSS, EKF, UKF
PDF Full Text Request
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