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Tightly coupled INS/CNS/spectral redshift integrated navigation system with the aid of redshift error measurement

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Abstract

The integration of an inertial navigation system (INS) and a celestial navigation system (CNS) has the superiority of high autonomy. However, its reliability and accuracy are permanently impaired under poor observation conditions. To address this issue, the present paper proposes a tightly coupled INS/CNS/spectral redshift (SRS) integration framework based on the spectral redshift error measurement. In the proposed method, a spectral redshift error measurement equation is investigated and embedded in the traditional tightly coupled INS/CNS integrated navigation system to achieve better anti-interference under complicated circumstances. Subsequently, the inaccurate redshift estimation from the low signal-to-noise ratio spectrum is considered in the integrated system, and an improved chi-square test-based covariance estimation method is incorporated in the federated Kalman filter, allowing to deal with measurement outliers caused by the inaccurate redshift estimation but not influencing the effect of other correct redshift measurements in suppressing the error of the navigation parameter on the filtering solution. Simulations and comprehensive analyses demonstrate that the proposed tightly coupled INS/CNS/SRS integrated navigation system can effectively handle outliers and outages under hostile observation conditions, resulting in improved performance.

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Authors and Affiliations

  1. School of Automation, Northwestern Polytechnical University, Xi’an, 710072, China

    GuangLe Gao, SheSheng Gao, GaoGe Hu & Xu Peng

  2. Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057, China

    GuangLe Gao, SheSheng Gao & GaoGe Hu

  3. School of Engineering, RMIT University in Melbourne, Melbourne, VIC, 3000, Australia

    YongMin Zhong

Authors
  1. GuangLe Gao
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  2. SheSheng Gao
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  3. GaoGe Hu
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  4. YongMin Zhong
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  5. Xu Peng
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Corresponding author

Correspondence to GaoGe Hu.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 42004021 & 41904028), the Shenzhen Science and Technology Program (Grant No. JCYJ20210324121602008), and the Shaanxi Natural Science Basic Research Project, China (Grant No. 2022-JM313).

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The supporting information is available online at tech.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Gao, G., Gao, S., Hu, G. et al. Tightly coupled INS/CNS/spectral redshift integrated navigation system with the aid of redshift error measurement. Sci. China Technol. Sci. 66, 2597–2610 (2023). https://doi.org/10.1007/s11431-022-2253-y

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  • DOI: https://doi.org/10.1007/s11431-022-2253-y

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