ON MODELS OF IONOSPHERIC DELAY CORRECTION FOR SINGLEFREQUENCY GPS RECEIVER
Zhang Yong 1) ;Zhang Bin 1,2) ; and Ma Nengwu 2)
1)Xiangjiaba Project Construction Department, China Three Gorges Corporation, Yibin 644600; 2)Changjiang Institute of Surveying, Planning, Design and Research, Changjiang Spatial Information Technology Engineering Co. Ltd, Wuhan 430010
Abstract Aiming at the defect of singlefrequency GPS receiver affected by ionospheric, the effect of ionospheric delay correction with four kinds of different ionospheric models (i.e. Klobuchar, NeQuick, IRI and IGGSH) have been analyzed by use of some GPS data as the example. The spatialtemporal characteristics of each ionospheric model is analyzed statistically.The calculation results show that IGGSH model is better than the other three ionospheric delay correction models.
Key words :
singlefrequency GPS
ionospheric delay model
total electron contain (TEC)
single layer model
spatialtemporal characteristics
Received: 01 January 1900
Corresponding Authors:
Zhang Yong
Cite this article:
Zhang Yong ,Zhang Bin, and Ma Nengwu . ON MODELS OF IONOSPHERIC DELAY CORRECTION FOR SINGLEFREQUENCY GPS RECEIVER[J]. , 2012, 32(2): 69-73.
Zhang Yong ,Zhang Bin, and Ma Nengwu . ON MODELS OF IONOSPHERIC DELAY CORRECTION FOR SINGLEFREQUENCY GPS RECEIVER[J]. jgg, 2012, 32(2): 69-73.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I2/69
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[10]
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