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Content Provider | IEEE Xplore Digital Library |
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Author | Zhang Guolong Xu Xiaosu |
Copyright Year | 2010 |
Description | Author affiliation: School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China (Zhang Guolong; Xu Xiaosu) |
Abstract | In order to verify the real-time capability and precision of the tightly coupled GPS/INS(Inertial Navigation System) navigation algorithm, test platform using the high performance floating-point digital signal processors produced by TI as CPU was designed for integrated navigation system. It could simulate inertial measurement unit and GPS receiver and complete many navigation algorithms efficiently. In the test, pseudo-range and pseudo-range rate were used as the measurements of the Kalman filter in the tightly coupled GPS/INS navigation algorithm. The U-D covariance factorization with sequence processing algorithm was applied to Kalman filter. The test results indicate that the precision of tightly coupled navigation algorithm is an order of magnitude higher than the loosely coupled navigation algorithm using position and velocity as measurements. In addition, the U-D covariance factorization with sequence processing algorithm has good numerical stability and can effectively reduce the computation time and data storage. |
File Size | 1268384 |
File Format | |
ISBN | 9781424471645 |
e-ISBN | 9781424471645 |
DOI | 10.1109/ICCDA.2010.5541150 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-06-25 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Real time systems Algorithm design and analysis System testing Navigation Digital signal processors Tightly coupled navigation Global Positioning System Measurement units Signal processing algorithms Digital signal processing Global positioning system(GPS) Digital signal processors(DSP) Signal design Inertial navigation systems(INS) |
Content Type | Text |
Resource Type | Article |
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