{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T12:18:34Z","timestamp":1773145114324,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T00:00:00Z","timestamp":1656028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Programs of the National Natural Science Foundation of China","award":["42127802"],"award-info":[{"award-number":["42127802"]}]},{"name":"Programs of the National Natural Science Foundation of China","award":["2022ZDLSF07-12"],"award-info":[{"award-number":["2022ZDLSF07-12"]}]},{"name":"Programs of the National Natural Science Foundation of China","award":["CHD300102269305"],"award-info":[{"award-number":["CHD300102269305"]}]},{"name":"Programs of the National Natural Science Foundation of China","award":["CHD300102268305"],"award-info":[{"award-number":["CHD300102268305"]}]},{"name":"Key R&amp;D Program of Shaanxi Province","award":["42127802"],"award-info":[{"award-number":["42127802"]}]},{"name":"Key R&amp;D Program of Shaanxi Province","award":["2022ZDLSF07-12"],"award-info":[{"award-number":["2022ZDLSF07-12"]}]},{"name":"Key R&amp;D Program of Shaanxi Province","award":["CHD300102269305"],"award-info":[{"award-number":["CHD300102269305"]}]},{"name":"Key R&amp;D Program of Shaanxi Province","award":["CHD300102268305"],"award-info":[{"award-number":["CHD300102268305"]}]},{"name":"Special Fund for Basic Scientific Research of Central Colleges","award":["42127802"],"award-info":[{"award-number":["42127802"]}]},{"name":"Special Fund for Basic Scientific Research of Central Colleges","award":["2022ZDLSF07-12"],"award-info":[{"award-number":["2022ZDLSF07-12"]}]},{"name":"Special Fund for Basic Scientific Research of Central Colleges","award":["CHD300102269305"],"award-info":[{"award-number":["CHD300102269305"]}]},{"name":"Special Fund for Basic Scientific Research of Central Colleges","award":["CHD300102268305"],"award-info":[{"award-number":["CHD300102268305"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Since BeiDou Navigation Satellite System (BDS) and Japan\u2019s Quasi-Zenith Satellite System (QZSS) have more visible satellites in the Asia-Pacific region, and navigation satellites of Global Positioning System (GPS), Galileo satellite navigation system (Galileo), and GLONASS satellite navigation system (GLONASS) are uniformly distributed globally, the service level of multi-mode Global Navigation Satellite System (GNSS) in the Asia-Pacific region should represent the best service capability. Based on the observation data of 10 Multi-GNSS Experiment (MGEX) stations, broadcast ephemeris and precision ephemeris from 13 to 19 October 2021, this paper comprehensively evaluated the service capability of multi-GNSS in the Asia-Pacific region from three aspects of observation data quality, broadcast ephemeris performance, and precision positioning level. The results show that: (1) the carrier-to-noise-density ratio (C\/N0) quality of the GPS and Galileo is the best, followed by BDS and GLONASS, and QZSS is the worst. GPS, BDS-2, GLONASS, and QZSS pseudorange multipath values range from 0 to 0.6 m, while Galileo system and BDS-3 pseudorange multipath values range from 0 to 0.8 m. (2) In terms of broadcast ephemeris accuracy, BDS-3 broadcast ephemeris has the best orbit, and the three-dimensional (3D) Root Mean Square (RMS) is 0.21 m; BDS-2 was the worst, with a 3D RMS of 1.99 m. The broadcast ephemeris orbits of GPS, Galileo, QZSS, and GLONASS have 3D RMS of 0.60 m, 0.62 m, 0.83 m, and 1.27 m, respectively. For broadcast ephemeris clock offset: Galileo has the best performance, 0.61 ns, GLONASS is the worst, standard deviation (STD) is 3.10 ns, GPS, QZSS, BDS-3 and BDS-2 are 0.65 ns, 0.75 ns, and 1.72 ns, respectively. For signal-in-space ranging errors (SISRE), the SISRE results of GPS and Galileo systems are the best, fluctuating in the range of 0 m\u20132 m, followed by QZSS, BDS-3, Galileo, and BDS-2. (3) GPS, BDS, GLONASS, Galileo, GPS\/QZSS, and BDS\/QZSS were used for positioning experiments. In static PPP, the convergence time and positioning accuracy of GPS show the best performance. The positioning accuracy of GPS\/QZSS and BDS\/QZSS is improved compared with that of GPS and BDS. In terms of kinematic PPP, the convergence time and positioning accuracy of GPS\/QZSS and BDS\/QZSS are improved compared with that of GPS and BDS. In addition to GLONASS and Galileo systems, the other combinations outperformed 3 cm, 3 cm, and 5 cm in the east, north, and up directions.<\/jats:p>","DOI":"10.3390\/rs14133028","type":"journal-article","created":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T22:50:23Z","timestamp":1656283823000},"page":"3028","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Performance of Multi-GNSS in the Asia-Pacific Region: Signal Quality, Broadcast Ephemeris and Precise Point Positioning (PPP)"],"prefix":"10.3390","volume":"14","author":[{"given":"Mengyuan","family":"Li","sequence":"first","affiliation":[{"name":"College of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Guanwen","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi\u2019an 710054, China"}]},{"given":"Le","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6817-198X","authenticated-orcid":false,"given":"Wei","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Fan","family":"Yue","sequence":"additional","affiliation":[{"name":"College of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1007\/s11119-018-9563-8","article-title":"Multi-GNSS precise point positioning for precision agriculture","volume":"19","author":"Guo","year":"2018","journal-title":"Precis. 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