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An Improved Weight Optimization AAIM Method Aided by Barometric Altimeter

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Abstract

Aiming at the problem of insufficient availability in the satellite receiver autonomous integrity monitoring (RAIM) method, an improved aircraft autonomous integrity monitoring (AAIM) method aided by barometric altimeter based on weight optimization is proposed under the actual configuration of the airborne navigation system. The information of satellite navigation system and barometric altimeter is used to establish the observation equation of the integrated system. The algorithm for integrity monitoring and protection-level calculation is derived based on multiple solution separation, and a weight optimization is adopted to achieve a trade-off between position accuracy and integrity, which can improve the availability of AAIM method. The simulation experiment shows that when the number of visible stars is 5, the traditional method cannot effectively detect the satellite fault, and the positioning error is 43.65 m. The improved algorithm can effectively isolate the fault and reduce the positioning error to 0.37 m. Compared with the traditional RAIM algorithm and the Baro-aided AAIM algorithm, the proposed algorithm has a lower vertical protection threshold. Therefore, the algorithm in this paper improves the performance of satellite navigation system integrity monitoring and ensure the accuracy and reliability of the satellite navigation system.

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Acknowledgements

This work is partially supported by Jiangsu provincial SixTalent Peaks (2015-XXRJ-005), Jiangsu Province Qing Lan Project, National Natural Science Foundation of China (61703207, 61973160), Jiangsu Provincial Natural Science Foundation of China (BK20170801), Aeronautical Science Foundation of China (2017ZC52017), Civil Aircraft Project of Ministry of Industry and Information (2018-S-36).

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China

    Xiaowei Xu, Jizhou Lai, Min Liu & Yuting Dai

  2. Key Laboratory of Internet of Things and Control Technology in Jiangsu Province, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China

    Xiaowei Xu, Jizhou Lai, Min Liu & Yuting Dai

  3. Shanghai Aircraft Design and Research Institute, COMAC, 5188 Jinke Road, Shanghai, China

    Zhiming Zheng

  4. Shanxi Baocheng Aviation Instrument Co., Ltd, AVIC, 70 Qingjiang Road, Baoji, China

    Kai Huang

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  1. Xiaowei Xu
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  2. Jizhou Lai
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  3. Min Liu
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  4. Zhiming Zheng
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  6. Kai Huang
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Correspondence to Jizhou Lai.

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Xu, X., Lai, J., Liu, M. et al. An Improved Weight Optimization AAIM Method Aided by Barometric Altimeter. Int. J. Aeronaut. Space Sci. 22, 638–647 (2021). https://doi.org/10.1007/s42405-020-00321-3

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  • DOI: https://doi.org/10.1007/s42405-020-00321-3

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