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Titlebook: China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I; Jiadong Sun,Jingnan Liu,Feixue Wang Conference proceedings 2016 S

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41#
發(fā)表于 2025-3-28 17:41:21 | 只看該作者
42#
發(fā)表于 2025-3-28 21:42:07 | 只看該作者
China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I978-981-10-0934-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
43#
發(fā)表于 2025-3-29 02:32:26 | 只看該作者
https://doi.org/10.1007/978-3-642-70018-7ng state and the baseline shift is much important and also difficult for the data solution. In this paper, the experienced CA/CV models and improved CA/CV models are analyzed, and some meaningful conclusions are got from the results comparison of different validations.
44#
發(fā)表于 2025-3-29 05:41:23 | 只看該作者
1876-1100 orresponding sessions in CSNC2016, which broadly covered key topics inGNSS. Readers can learn about the BDS and keep abreast of the latest advancesin GNSS techniques and applications.?.978-981-10-9286-2978-981-10-0934-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
45#
發(fā)表于 2025-3-29 07:21:59 | 只看該作者
46#
發(fā)表于 2025-3-29 13:07:25 | 只看該作者
Pierre Bret,Christine Cuche,Gérard Schmutz also proved the conclusion that the magnitude has the positive correlation with the positive ionosphere anomalies, and under the condition of single factor analysis, we confirmed that the magnitude made a significant impact on the ionosphere anomalies before the earthquake happened.
47#
發(fā)表于 2025-3-29 19:11:14 | 只看該作者
48#
發(fā)表于 2025-3-29 23:33:11 | 只看該作者
Histoire naturelle des abords vasculaires,crease when the soil moisture increases, and the phase will decrease when soil moisture decreases, and the method of using sn_rnx data can obtain the change trend of soil moisture and can be used as an alternative to solve the problem that the SNR data is unavailable in many GNSS data sets.
49#
發(fā)表于 2025-3-30 02:43:39 | 只看該作者
50#
發(fā)表于 2025-3-30 05:07:10 | 只看該作者
Correlation Analysis Between Ionosphere Anomaly and Earthquake also proved the conclusion that the magnitude has the positive correlation with the positive ionosphere anomalies, and under the condition of single factor analysis, we confirmed that the magnitude made a significant impact on the ionosphere anomalies before the earthquake happened.
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