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????????????????GNSS/INS????????????????
引用本文:甘雨,隋立芬,张清华,桑渤.????????????????GNSS/INS????????????????[J].大地测量与地球动力学,2013,33(1):108-112.
作者姓名:甘雨  隋立芬  张清华  桑渤
作者单位:1)信息工程大学地理空间信息学院,郑州 450052;2)72946部队,淄博 255000
基金项目:国家自然科学基金(40974010,40971306,41174006,41274016)
摘    要:??????????????????Kalman??????????????????????????Kalman?????????????????????????????????????????????????????????????GNSS/INS?????????????????????????????????????????????????????????????????????????????????????????Kalman??????????????

关 键 词:??????  GNSS/INS  Kalman???  ??????  ?????????  

REFINING PRIOR FILTERING MODEL OF GNSS/INS INTEGRATED NAVIGATION BASED ON TIME-FREQUENCY ANALYSIS
Gan Yu,Sui Lifen,Zhang Qinghua,and Sang Bo.REFINING PRIOR FILTERING MODEL OF GNSS/INS INTEGRATED NAVIGATION BASED ON TIME-FREQUENCY ANALYSIS[J].Journal of Geodesy and Geodynamics,2013,33(1):108-112.
Authors:Gan Yu  Sui Lifen  Zhang Qinghua  and Sang Bo
Affiliation:1)Geospatial Information Institute, Information Engineering University,Zhengzhou 450052;2)72946 Troops of PLA, Zibo 255000
Abstract:Exact prior information is of great importance to both classical Kalman filtering and adaptive filtering. In applications concerned with Kalman filtering, prior model is generally determined arbitrarily and experientially, lacking methodology. Taking the GNSS/INS integrated navigation as an example,the stochastic character of errors, which is subsequently transformed into proper prior information, is obtained from inertial data based on time frequency analysis. This method avoids the complicated tuning in utilizing Kalman filtering.
Keywords:time frequency analysis  GNSS/INS  Kalman filtering  stochastic model  power spectral density (PSD)
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