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https://doi.org/10.17559/TV-20150122124341

Investigation on data processing method in multi antenna GPS system designed for landslide

Yuan Debao ; College of Geoscience and Surveying Engineering, CUMTB, Beijing, China, 100083
Huang Lei ; College of Geoscience and Surveying Engineering, CUMTB, Beijing, China, 100083
Yu Shiwei ; College of Geoscience and Surveying Engineering, CUMTB, Beijing, China, 100083
Cao He ; College of Geoscience and Surveying Engineering, CUMTB, Beijing, China, 100083
Liu Qiang ; College of Geoscience and Surveying Engineering, CUMTB, Beijing, China, 100083


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Sažetak

The global positioning system (GPS) is a satellite navigation system in the middle distance circular orbit. It can provide accurate positioning, speed testing, and high precision time standard in most parts of the earth's surface. Position can be quickly determined with only 3 satellites, but if want more accurate location, more satellites should be coupled. The conventional GPS monitoring method for deformation is that the GPS receiver is installed in each monitoring point. When there are many monitoring points, cost of the monitoring system will be quite high. In order to solve this problem, multi antenna GPS monitoring system has been proposed. Multiple antennas are connected to a receiver according to an additional GPS signal switch. So the data obtained in the system will be much larger than by the conventional GPS system. How to effectively process the large amount of data is a difficult problem. In this paper, the main content is to study the data processing method for a multi antenna GPS. Data compression method in a multi antenna GPS system with a high sampling rate is investigated. Data effective degree is used in the method to extract useful information. GPS data is coded by multi coding methods. According to the verification, the results show that the method is valid, and it can be used in the GPS data compression.

Ključne riječi

code method; data compression; deformation; multi antenna GPS system; side slope

Hrčak ID:

149367

URI

https://hrcak.srce.hr/149367

Datum izdavanja:

14.12.2015.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.479 *