@article{cbf0c15007b64e99be13e6256c04fdcd,
title = "Ocean real-time precise point positioning with the BeiDou short-message service",
abstract = "Real-time precise point positioning (RTPPP) is a popular positioning method that uses a real-time service (RTS) product to mitigate various Global Navigation Satellite Systems (GNSS) errors. However, communication links are not available in the ocean. The use of a communication satellite for data transmission is so expensive that normal users could not afford it. The BeiDou short-message service provides an efficient option for data transmission at sea, with an annual fee of approximately 160 USD. To perform RTPPP using BeiDou short messages, the following two challenges should be appropriately addressed: the maximum size of each BeiDou message is 78 bytes, and the communication frequency is limited to once a minute. We simplify the content of RTS data to minimize the required bandwidth. Moreover, the orbit and clock corrections are predicted based on minute-interval RTS orbital and clock corrections. An experiment was conducted to test the performance of the proposed method. The numerical results show that the three-dimensional positioning precision can reach approximately 0.4 m with combined GPS + GLONASS and approximately 0.2 m with combined GPS + GLONASS + Galileo + BeiDou.",
keywords = "BeiDou short-message service, Ocean, Real-time PPP, RTS",
author = "Kaifei He and Duojie Weng and Shengyue Ji and Zhenjie Wang and Wu Chen and Yangwei Lu",
note = "Funding Information: This research was substantially supported by the Key Program of the National Natural Science Foundation of China (Grant No. 41631073) and was funded by the Shenzhen Science and Technology Innovation Commission (Project No. JCYJ20170818104822282), the National Natural Science Foundation of China (Grant Nos. 42074028, 41704021, 41701513, and 41604027), the financial support by the Qingdao National Laboratory for Marine Science and Technology (Grant No. QNLM2016ORP0401), the Natural Science Foundation of Shandong Province, China (Grant Nos. ZR2016DM15, ZR2019MD005, ZR2016DQ01, ZR2017QD002, and ZR2017MD021), the Fundamental Research Funds for the Central Universities (Grant Nos. 18CX02064A, 18CX02054A, and 16CX02026A), and State Key Laboratory Dynamics (LED2018B03) and. Funding Information: Funding: This research was substantially supported by the Key Program of the National Natural Science Foundation of China (Grant No. 41631073) and was funded by the Shenzhen Science and Technology Innovation Commission (Project No. JCYJ20170818104822282), the National Natural Science Foundation of China (Grant Nos. 42074028, 41704021, 41701513, and 41604027), the financial support by the Qingdao National Laboratory for Marine Science and Technology (Grant No. QNLM2016ORP0401), the Natural Science Foundation of Shandong Province, China (Grant Nos. ZR2016DM15, ZR2019MD005, ZR2016DQ01, ZR2017QD002, and ZR2017MD021), the Fundamental Research Funds for the Central Universities (Grant Nos. 18CX02064A, 18CX02054A, and 16CX02026A), and State Key Laboratory Dynamics (LED2018B03) and. Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2020",
month = dec,
day = "2",
doi = "10.3390/rs12244167",
language = "English",
volume = "12",
pages = "1--17",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "24",
}