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10 July 2020 Fast and Precise Orbit Determination of Satellite GPS Data: An Image Fusion Algorithm
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Abstract

Jin, Y.-J. and Peng, H., 2020. Fast and precise orbit determination of satellite GPS data: An image fusion algorithm. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 592–595. Coconut Creek (Florida), ISSN 0749-0208.

By 2019, China launched five oceanographic telemetry and remote sensing satellites, and the HY2B satellite has undergone prelaunch commissioning. There is a prerequisite relationship between satellite telemetry and remote sensing accuracy and satellite orbit determination accuracy. This article starts with the conventional satellite orbit determination algorithm, combines the image fusion algorithm with the Fourier transform algorithm, and improves the satellite orbit determination accuracy to a certain extent. This article holds that the accuracy of the satellite orbit determination algorithm based on satellite-borne GPS data has reached the theoretical limit, while the experimental satellite orbit determination algorithm based on big data mining and conventional algorithms is the key research direction for obtaining higher precision satellite orbit determination technology in the future.

©Coastal Education and Research Foundation, Inc. 2020
Yuejuan Jing and Han Peng "Fast and Precise Orbit Determination of Satellite GPS Data: An Image Fusion Algorithm," Journal of Coastal Research 106(sp1), 592-595, (10 July 2020). https://doi.org/10.2112/SI106-134.1
Received: 30 December 2019; Accepted: 5 February 2020; Published: 10 July 2020
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