Resolving the regional ionospheric grid model by applying Kalman filter

来源 :第七届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户:zlk84
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  Ionospheric is the largest error source in the high-precision navigation and positioning.However,single frequency users can only get the correction by broadcast of the ionosphere models.In this paper,advantages and disadvantages of several kinds of current models are compared,and finally we choose the regional grid modeling.Based on GPS data of “Crustal Movement Observation Network of China” (CMONOC),we extract ionospheric delay from levelled carrier-phase observationsand take VTEC of the grid points and DCB of receivers as parameters,then describe each state variable with random walk model,thus,setting up the regional ionospheric grid model by using the Kalmanfilter estimation epoch by epoch,which gained good results.Taking GIM(Global Ionospheric Maps)as reference,their variations characteristics of VTEC(vertical total electron content)were consistent.The inner precision of the model ranging from 1 to 3 TECU was detected,and the RMS were about 2.5TEC and residuals were around 3 TECU.Besides,variations of receiver hardware delay within 2 TECU were relatively smooth.Compared with the regional stations receiver DCB isolated from the original observation by using satellite DCB and spherical harmonic coefficients,the mean differences for a week were all within 2ns.In addition,the results showed that less stations around grid leading to lower precision of VTEC because of shortage of the observations,and thus the greater the receiver DCB error was.
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