应用Kalman滤波实时求解硬件延迟
Real Time Estimation of DCB Using Kalman Filters
-
摘要: 采用均方根信息滤波(SRIF)方法,对IGS站实时观测数据进行了单历元解算,以便将卫星钟差等相关信息及时播发给用户,以进行实时精密定位。试验结果表明,GPS实时单历元解算的精密卫星钟差与IGS事后精密钟差相比,互差优于0.2ns,其精度与国际IGS各分析中心估计的卫星钟差精度相当。Abstract: Combined with VTEC Spherical Harmonic Function Model,the Kalman Filter with external constraint condition between some parameters solved is used for real time estimation of GPS satellite and receiver's Differential Code Bias (DCB). This can be used to provide DCBs for Wide Area Augmentation System's real time ionosphere delay modeling. The results show that the DCB can converge in short time in this solution. The final value of those DCBs is in little bias comparing with the results of IGS.
下载:
