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ANALYSIS OF UN-COINCIDE COORDINATE ERROR IN SINGLE-AXIS ROTATING FIBER OPTIC STRAP-DOWN INERTIAL NAVIGATION SYSTEM 被引量:3
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作者 张玲 赖际舟 +1 位作者 刘建业 吕品 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2011年第2期199-205,共7页
The un-coincide coordinate error in the single-axis rotating fiber optic strap-down inertial navigation system(SINS) is analyzed. Firstly, a rotating modulation technology is presented for SINS. The method provides ... The un-coincide coordinate error in the single-axis rotating fiber optic strap-down inertial navigation system(SINS) is analyzed. Firstly, a rotating modulation technology is presented for SINS. The method provides the enhanced property of SINS when using the same-leveled inertial measurement units. Then, the rotating struc- ture modification is derived and augmented to resolve the un-modulated error-accumulated problem. As the insuf- ficient machine processing, the horizontal and the vertical errors on the machine surface are inevitable, and the in- volved coordinates are difficult to get the exact coincident. So, two major kinds of coordinate situation are stud- ied. The equivalent error models on gyro and acceleration outputs are built for each situation, and the impact is analyzed for compensation. The part of attitude and position error models caused by the built angle-rate error is established to calculate the un-eoincident impact. Considering these conditions of different gyro accuracy and mo- tion states simultaneously, numerical simulations are implemented. Results indicate that the SINS modulation ac- curacy is seriously affected by the combined factors on gyro accuracy and motion conditions. 展开更多
关键词 rotational molding modulation machine processing surface horizontal and vertical error un-coinci-dent impact
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Impact of ionospheric irregularity on SBAS integrity:spatial threat modeling and improvement 被引量:2
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作者 BAO Junjie LI Rui +1 位作者 LIU Pan HUANG Zhigang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第5期908-917,共10页
The ionosphere, as the largest and least predictable error source, its behavior cannot be observed at all places simultaneously. The confidence bound, called the grid ionospheric vertical error(GIVE), can only be dete... The ionosphere, as the largest and least predictable error source, its behavior cannot be observed at all places simultaneously. The confidence bound, called the grid ionospheric vertical error(GIVE), can only be determined with the aid of a threat model which is used to restrict the expected ionospheric behavior. However, the spatial threat model at present widespread used, which is based on fit radius and relative centroid metric(RCM), is too conservative or the resulting GIVEs will be too large and will reduce the availability of satellite-based augmentation system(SBAS). In this paper, layered two-dimensional parameters, the vertical direction double RCMs, are introduced based on the spatial variability of the ionosphere. Comparing with the traditional threat model, the experimental results show that the user ionospheric vertical error(UIVE) average reduction rate reaches 16%. And the 95% protection level of conterminous United States(CONUS) is 28%, even under disturbed days, which reaches about 5% reduction rates.The results show that the system service performance has been improved better. 展开更多
关键词 ionospheric delay spatial threat model relative centroid metric(RCM) user ionospheric vertical error(UIVE)
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