Long Coherent Open-Loop GPS L5Q Signal Positioning: A Case Study for an Urban Area in Hong Kong

Chin Lok Tsang, Yiran Luo, Li-Ta Hsu

Peer Reviewed

Abstract:	The Global Navigation Satellite System (GNSS) signals have significantly been utilized in our daily life. High-precision positioning solutions in the urban canyon are demanding, and long coherent integration was being suggested as one of the potential solutions dealing with the challenges in urban positioning, such as enhancing the SNR by minimizing the squaring loss and suppressing the multipath signals, etc. However, the coherent integration time is limited by the data bit transition in the legacy signals. The Doppler drift induced by the user and satellite dynamic in long coherent integration also causes the receiver easily lose track. It may be challenging to bring the estimated signal parameters back to the tight pull-in range in the urban canyon. There are few works currently can be found that focus on dealing with the data bit transition and easily loss track issues in long coherent integration. In this study, the open-loop GPS L5Q signal positioning algorithm is proposed. The advanced signal structure of L5 provides a data bit free pilot channel. The channel is being utilized to perform open-loop batch processing instead of traditional closed-loop processing. The proposed algorithm is integrated into the SDR for outputting the SPP position and velocity results. The result has been shown the proposed algorithm provides a better positioning performance, especially in terms of velocity estimation.
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	2025 - 2041
Cite this article:	Tsang, Chin Lok, Luo, Yiran, Hsu, Li-Ta, "Long Coherent Open-Loop GPS L5Q Signal Positioning: A Case Study for an Urban Area in Hong Kong," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 2025-2041. https://doi.org/10.33012/2022.18326
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