{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T20:10:04Z","timestamp":1755893404091,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T00:00:00Z","timestamp":1701993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,8]]},"DOI":"10.1145\/3654446.3654483","type":"proceedings-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:00:57Z","timestamp":1714759257000},"page":"210-214","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integration of Singular Spectrum Analysis and Adaptive Neuro-FuzzyInference System for BDS-3 Clock Bias Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3731-7091","authenticated-orcid":false,"given":"Chenglin","family":"Cai","sequence":"first","affiliation":[{"name":"School of Automation and Electronic Information, Xiangtan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1114-9556","authenticated-orcid":false,"given":"Mingjie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Automation and Electronic Information, Xiangtan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4527-8283","authenticated-orcid":false,"given":"Kaihui","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computational Science, Xiangtan University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Characteristics of BD3 global service satellites: POD, open service signal and atomic clock performance.\u00a0Remote Sensing","author":"Xu X.","year":"2019","unstructured":"Xu, X.; Wang, X.; Liu, J.; & Zhao, Q. Characteristics of BD3 global service satellites: POD, open service signal and atomic clock performance.\u00a0Remote Sensing. 2019, 11(13), 1559."},{"key":"e_1_3_2_1_2_1","volume-title":"Improving short term clock prediction for BDS-2 real-time precise point positioning.\u00a0Sensors","author":"He L.","year":"2019","unstructured":"He, L.; Zhou, H.; Wen, Y.; & He, X. Improving short term clock prediction for BDS-2 real-time precise point positioning.\u00a0Sensors. 2019, 19(12), 2762."},{"key":"e_1_3_2_1_3_1","volume-title":"Seasonality extraction by function fitting to time-series of satellite sensor data.\u00a0IEEE transactions on Geoscience and Remote Sensing","author":"Jonsson P.","year":"2002","unstructured":"Jonsson, P.; & Eklundh, L. Seasonality extraction by function fitting to time-series of satellite sensor data.\u00a0IEEE transactions on Geoscience and Remote Sensing. 2002, 40(8), 1824-1832."},{"key":"e_1_3_2_1_4_1","volume-title":"Grey model based on first difference in the application of the satellite clock bias prediction. Acta astronomica sinica","author":"Liang Y.J.","year":"2015","unstructured":"Liang, Y.J.; Ren, C.; Yang, X.F.; Pang, G.F.; & Lan, L. Grey model based on first difference in the application of the satellite clock bias prediction. Acta astronomica sinica. 2015, 56(3), 264-277."},{"issue":"8","key":"e_1_3_2_1_5_1","first-page":"803","article-title":"The application of radial basis function neural network in the GPS satellite clock bias prediction","volume":"43","author":"Wang G.C.","year":"2014","unstructured":"Wang, G.C.; Liu, L.T.; Xu, A.G.; Su, X.Q.; Liang, X.H. The application of radial basis function neural network in the GPS satellite clock bias prediction. Acta Geodaetica et Cartographica Sinica. 2014, 43(8), 803-817.","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"key":"e_1_3_2_1_6_1","volume-title":"Improved wavelet neural network based on change rate to predict satellite clock bias.\u00a0Survey Review","author":"Wang X.","year":"2021","unstructured":"Wang, X.; Chai, H.; Wang, C.; Xiao, G.; Chong, Y.; & Guan, X. Improved wavelet neural network based on change rate to predict satellite clock bias.\u00a0Survey Review, 2021, 53(379), 325-334."},{"key":"e_1_3_2_1_7_1","volume-title":"Clock bias prediction algorithm for navigation satellites based on a supervised learning long short-term memory neural network.\u00a0GPS solutions","author":"Huang B.","year":"2021","unstructured":"Huang, B.; Ji, Z.; Zhai, R.; Xiao, C.; Yang, F.; Yang, B.; & Wang, Y. Clock bias prediction algorithm for navigation satellites based on a supervised learning long short-term memory neural network.\u00a0GPS solutions. 2021, 25(2), 80."},{"key":"e_1_3_2_1_8_1","volume-title":"Research on modeling and predicting of BDS-3 satellite clock bias using the LSTM neural network model.\u00a0GPS Solutions","author":"He S.","year":"2023","unstructured":"He, S.; Liu, J.; Zhu, X.; Dai, Z.; & Li, D. Research on modeling and predicting of BDS-3 satellite clock bias using the LSTM neural network model.\u00a0GPS Solutions. 2023, 27(3), 108."},{"key":"e_1_3_2_1_9_1","volume-title":"TS fuzzy neural network to predict satellite clock bias.\u00a0Acta Geodaetica et Cartographica Sinica","author":"Xu W.A.N.G.","year":"2020","unstructured":"Xu, W.A.N.G.; Hongzhou, C.H.A.I.; & Chang, W.A.N.G. TS fuzzy neural network to predict satellite clock bias.\u00a0Acta Geodaetica et Cartographica Sinica. 2020, 49(5), 580."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34913-3"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1487"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2015.02.001"},{"key":"e_1_3_2_1_13_1","volume-title":"ANFIS: adaptive-network-based fuzzy inference system.\u00a0IEEE transactions on systems, man, and cybernetics","author":"Jang J.S.","year":"1993","unstructured":"Jang, J.S. ANFIS: adaptive-network-based fuzzy inference system.\u00a0IEEE transactions on systems, man, and cybernetics. 1993, 23(3), 665-685."},{"key":"e_1_3_2_1_14_1","volume-title":"Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey.\u00a0Artificial Intelligence Review","author":"Karabagh D.","year":"2019","unstructured":"Karabagh, D.; & Kaya, E. Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey.\u00a0Artificial Intelligence Review. 2019, 52, 2263-2293."}],"event":{"name":"SPCNC 2023: The 2nd International Conference on Signal Processing, Computer Networks and Communications","acronym":"SPCNC 2023","location":"Xiamen China"},"container-title":["Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3654446.3654483","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3654446.3654483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:37:11Z","timestamp":1755891431000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3654446.3654483"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,8]]},"references-count":14,"alternative-id":["10.1145\/3654446.3654483","10.1145\/3654446"],"URL":"https:\/\/doi.org\/10.1145\/3654446.3654483","relation":{},"subject":[],"published":{"date-parts":[[2023,12,8]]},"assertion":[{"value":"2024-05-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}