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TEC and Instrumental Bias Estimation of GAGAN Station Using Kalman Filter and score algorithm

Positioning 2016年第1期7卷 41-50页

作者： Dhiraj Sunehra Department of Electronics and Communication Engineering Jawaharlal Nehru Technological University Hyderabad India

The standalone Global Positioning System (GPS) does not meet the higher accuracy requirements needed for approach and landing phase of an aircraft. To meet the Category-I Precision Approach (CAT-I PA) requirements of civil aviation, satellite based augmentation system (SBAS) has been planned by various countries including USA, Europe, Japan and India. The Indian SBAS is named as GPS Aided Geo Augmented Navigation (GAGAN). The GAGAN network consists of several dual frequency GPS receivers located at various airports around the Indian subcontinent. The ionospheric delay, which is a function of the total electron content (TEC), is one of the main sources of error affecting GPS/SBAS accuracy. A dual frequency GPS receiver can be used to estimate the TEC. However, line-of-sight TEC derived from dual frequency GPS data is corrupted by the instrumental biases of the GPS receiver and satellites. The estimation of receiver instrumental bias is particularly important for obtaining accurate estimates of ionospheric delay. In this paper, two prominent techniques based on Kalman filter and Self-Calibration Of pseudo Range Error (score) algorithm are used for estimation of instrumental biases. The estimated instrumental bias and TEC results for the GPS Aided Geo Augmented Navigation (GAGAN) station at Hyderabad (78.47°E, 17.45°N), India are presented.

关键词： GPS Aided Geo Augmented Navigation Total Electron Content Instrumental Biases Kalman Filter score algorithm

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A regional ionospheric TEC mapping technique over China and adjacent areas: GNSS data processing and DINEOF analysis

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Science China(Information Sciences) 2015年第10期58卷 168-178页

作者： A Ercha HUANG WenGeng LIU SiQing SHI LiQin GONG JianCun CHEN YanHong SHEN Hua National Space Science Center Chinese Academy of Sciences

A technique is developed to derive two-dimensional maps of total electron content(TEC) over China and adjacent areas using Global Navigation Satellite System(GNSS) data from the Crustal Movement Observation Network of China(CMONOC) and the International Global Navigation Satellite System Service(IGS). A revised self-calibration of pseudo-range errors(score) algorithm is used to derive the TEC and to determine the Differential Code Biases(DCBs) simultaneously. The accuracy and validity of this technique is verified in two ways. Firstly, the estimated TEC is compared with the results derived using DCBs from Center for Orbit Determination of Europe(CODE) under different solar activity conditions and seasons; secondly, sample TEC along the receiver-to-satellite ray paths are simulated by Ne Quick model and are reprocessed by this TEC derivation technique to make the accuracy test. Two-dimensional maps of vertical TEC of ionospheric pierce points(IPPs) are obtained accordingly with a time resolution of 30 s. The data interpolating empirical orthogonal functions(DINEOF) technique is then used to make the extrapolation for the unknown or missing data points. The optimal EOF modes for data reconstruction are specified via cross-validation method. The regional TEC distribution over China and adjacent areas is scaled into grid size of 1? × 1? for each 5 min, which can well reflect the characteristic of large-scale regional variations and temporal evolution as well as the small-scale local features of ionosphere.

关键词： TEC mapping GNSS processing score algorithm DINEOF technique Ne Quick

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