AN IONOSPHERIC OCCULTATION INVERSION TECHNIQUE BASED ON NON-CALIBRATED TEC
Lin Jian 1,2) ;and Wu Yun 1,2)
1)Key Laboratory of Earthquake Geodesy,Institute of Seismology, CEA, Wuhan 430071;2)Wuhan Base of Institute of Crustal Dynamics,CEA Wuhan 430071
Abstract In order to eliminate the effect from the topside ionosphere above LEO, it is necessary to retrieve electron density profiles based on the calibrated TEC below LEO, which introduces the approximation that the LEO and GPS orbit are close to being coplanar. In this paper, firstly an improved technique is proposed to eliminate this approximate error based on the noncalibrated TEC, and then the technique is applied in the inversion of simulated data and real observation data respectively. The results show that:1) whether the simulated data or real observation data are used, the inversion results derived from the noncalibrated TEC are better than those derived from the calibrated TEC technique, especially it is more obvious for low LEO altitudes;2) based on the above data, some serious errors occur while the electron density profiles are retrieved from the calibrated TEC, on the contrary, the inversion results derived from noncalibrated TEC are reasonable.
Key words ：
GPS radio occultation
calibrated TEC inversion
non-calibrated TEC inversion
ionosphere
ionosonde
Received: 01 January 1900
Corresponding Authors:
Lin Jian
Cite this article:
Lin Jian,and Wu Yun. AN IONOSPHERIC OCCULTATION INVERSION TECHNIQUE BASED ON NON-CALIBRATED TEC[J]. , 2012, 32(4): 51-56.
Lin Jian,and Wu Yun. AN IONOSPHERIC OCCULTATION INVERSION TECHNIQUE BASED ON NON-CALIBRATED TEC[J]. jgg, 2012, 32(4): 51-56.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I4/51
[1]
GAO Meng,WANG Shunshun,WANG Cao,ZHU Huizhong,XU Aigong. Research on the Algorithm of Triple-Frequency BDS RTK between Middle-Range Baseline
[2]
ZHANG Kexin,TIAN Chongrui,JIAO Jian,ZENG Qiming. Research on Smoothing in InSAR Ionospheric Correction
[3]
TANG Jun,LI Yinjian,ZHONG Zhengyu,GAO Xin. Prediction Model of Ionospheric TEC by EOF and LSTM Neural Network
[4]
YANG Qiulian,ZHAO Zhen,HU Zhigang. Analysis of SBAS B1c Grid Ionospheric Algorithm Correction for BDS-3
[5]
HUANG Jiawei，LU Tieding，HE Xiaoxing，LI Wei. Short Term Prediction Model of Ionospheric TEC Based on Residual Correction of Prophet-Elman
[6]
LU Tieding,HUANG Jiawei,HE Xiaoxing,Lü Kaiyun. Short-Term Ionospheric TEC Prediction Using EWT-Elman Combination Model
[7]
WEI Shengtao，LI Dehai，CHEN Bingzhu，BEI Jinzhong，LENG Hongyu. Convergence Analysis of PPP Additional Regional Ionospheric Constraints
[8]
LU Tieding,HUANG Jiawei, LU Chunyang,HE Xiaoxing,QIAN Wenlong. Short-Term Ionospheric TEC Prediction Model Based on EWT-ARMA
[9]
LI Lei，ZHANG Ning，YIN Shuhui，WANG Yizhuo. ARMA Residual Correction Model for Detecting Ionospheric TEC Anomalies before Menyuan MS 6.4 Earthquake
[10]
DING Yitao,GUO Meijun. Accuracy Analysis of Beidou Ionosphere Model
[11]
ZHANG Qi,ZENG Ran,XIN Shaoming,GONG Shucheng,REN Hanxin,FANG Rongxin. Rapid Re-Convergence Methods of Real-Time PPP When Satellite Cycle-Slips Occur Frequently under Seismic Monitoring Environment
[12]
GAO Meng,XU Aigong,ZHU Huizhong,GE Maorong,TANG Longjiang. The Algorithm of Triple-Frequency Integer Ambiguity Resolution for Low Elevation Angle Satellite between BDS Reference Stations
[13]
XIE Ting,CHEN Biyan,KUANG Cuilin. Study of Ionospheric Anomaly Detection Method Combining PCA and Sliding Time Window
[14]
.
[15]
MA Yu，ZHU Fuying. Research on Co-Seismic Ionospheric Disturbance due to the Nepal MW 7.8 Earthquake Based on GPS TEC
