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应用Kalman滤波实时求解硬件延迟 被引量:19

Real Time Estimation of DCB Using Kalman Filters
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摘要 结合球谐函数电离层模型,利用附加约束条件的Kalman滤波算法实现了实时求解卫星和测站接收机的硬件延迟,从而为广域增强系统的电离层延迟估计算法提供绝对电离层延迟信息。结果表明,基准站上接收机的硬件延迟可以在较短时间内收敛,卫星的硬件延迟单天最终解与IGS发布的值其差异在亚ns级。 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.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2009年第11期1309-1311,1323,共4页 Geomatics and Information Science of Wuhan University
基金 国家973计划资助项目(2009CB724002) 国家自然科学基金资助项目(40804005) 国家863计划资助项目(2007AA12Z321 2006AA12A109) 上海市科委重点资助项目(075115013) 上海市科委重大资助项目(08dz1500300)
关键词 附加约束 KALMAN滤波 硬件延迟 VTEC constrained Kalman filter differential code bias VTEC
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参考文献10

  • 1Blanch J. Using Kriging to Bound Satellite Ranging Errors Due to the Ionosphere[D]. California.. Stanford University, 2003.
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二级参考文献19

  • 1刘经南 陈俊勇 等.广域差分GPS原理与方法[M].北京:测绘出版社,1999.90-114.
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