An Improved Grey Model and Its Application Research on the Prediction of Real-time GPS Satellite Clock Errors

2009 ◽  
Vol 33 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Zheng Zuo-ya ◽  
Chen Yong-qi ◽  
Lu Xiu-shan
2015 ◽  
Vol 713-715 ◽  
pp. 471-474 ◽  
Author(s):  
Shuo Mei Wu ◽  
Jian Wei Song ◽  
Xu Ning Liu

In order to meet the needs of the construction information industry base, enhance their ability to serve the community, and improve scientific research projects of market-oriented level, then develop family-oriented and school-based intelligent monitoring software system, the development of new products in the smart camera and mobile video surveillance and development of new technologies are developed. It is considered that the electronic information industry needs to develop intelligent monitoring technology industry, the video compression technology and the use of mobile and existing wireless networks are made, such as efforts are used to complete the smart cameras and mobile video surveillance system development, so the development of application research has implemented the front of video surveillance intelligence information collection, transmission of video signals in real time, real-time wireless video signal transmission and other tasks.


2019 ◽  
Vol 11 (21) ◽  
pp. 2595
Author(s):  
Jiang ◽  
Gu ◽  
Li ◽  
Ge ◽  
Schuh

Real-time multi-GNSS precise point positioning (PPP) requires the support of high-rate satellite clock corrections. Due to the large number of ambiguity parameters, it is difficult to update clocks at high frequency in real-time for a large reference network. With the increasing number of satellites of multi-GNSS constellations and the number of stations, real-time high-rate clock estimation becomes a big challenge. In this contribution, we propose a decentralized clock estimation (DECE) strategy, in which both undifferenced (UD) and epoch-differenced (ED) mode are implemented but run separately in different computers, and their output clocks are combined in another process to generate a unique product. While redundant UD and/or ED processing lines can be run in offsite computers to improve the robustness, processing lines for different networks can also be included to improve the clock quality. The new strategy is realized based on the Position and Navigation Data Analyst (PANDA) software package and is experimentally validated with about 110 real-time stations for clock estimation by comparison of the estimated clocks and the PPP performance applying estimated clocks. The results of the real-time PPP experiment using 12 global stations show that with the greatly improved computational efficiency, 3.14 cm in horizontal and 5.51 cm in vertical can be achieved using the estimated DECE clock.


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