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A BDS-3 B1C/B2a dual-frequency joint tracking architecture based on adaptive Kalman filter and extended integration time

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Abstract

With the development of the third-generation BeiDou navigation satellite system (BDS-3), the availability of new civil B1C and B2a signals along with existing B1I and B3I signals will greatly benefit the design of BeiDou multi-frequency receivers. For instance, BDS-3 can provide signal observations at multiple frequencies to form flexible design strategies of advanced receiver baseband signal and a linear combination of observations used for different purposes. The B1C/B2a receivers have been proposed recently which, however, are limited by the integration time to improve the tracking sensitivity further. Also, the signal observations and characteristics of the dual-frequency tracking architecture have not been fully explored, which can be further designed to get mutual benefits and reach an optimal tracking performance. In order to improve the tracking performance, especially in challenging environments such as in the presence of a weak signal and selective frequency signal attenuation, a B1C/B2a joint tracking architecture for BDS-3 dual-frequency receivers is proposed based on an adaptive Kalman filter and an extended integration time. The experimental results show that compared to the modified traditional tracking architectures, the proposed joint tracking architecture can improve the receiver’s tracking sensitivity up to 3.29 dB and achieve an optimal availability, accuracy and robustness performance in both tracking and navigation solutions.

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Acknowledgements

This research is partly supported by the National Natural Science Foundation of China (Nos. 61633008, 61773132, 61803115, 61901154), the Heilongjiang Province Science Fund for Distinguished Young Scholars (No. JC2018019) and the Zhejiang Province Science Foundation for Youths (No. LQ19F010006). The first author is funded by the China Scholarship Council (No. 201806680008) which is also acknowledged.

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Authors and Affiliations

  1. College of Automation, Harbin Engineering University, Harbin, 150001, People’s Republic of China

    Mouyan Wu, Lin Zhao, Jicheng Ding & Yingyao Kang

  2. Department of Geomatics Engineering, University of Calgary, Calgary, T2N 1N4, Canada

    Mouyan Wu & Yang Gao

  3. School of Automation, Beijing Information Science and Technology University, Beijing, 100192, People’s Republic of China

    Yafeng Li

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  1. Mouyan Wu
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  2. Lin Zhao
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  3. Jicheng Ding
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  4. Yang Gao
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  5. Yafeng Li
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  6. Yingyao Kang
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Correspondence to Jicheng Ding.

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Wu, M., Zhao, L., Ding, J. et al. A BDS-3 B1C/B2a dual-frequency joint tracking architecture based on adaptive Kalman filter and extended integration time. GPS Solut 24, 30 (2020). https://doi.org/10.1007/s10291-019-0944-x

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