DATA PROCESSING IN PRECISION SURVEYING OF BALLASTLESS TRACK HIGH-SPEED RAILWAY
Cai Shiyi 1) ;Li Bofeng 1) ;Shi Debin 2) ;Liu Cheng 2) ; and Shen Yunzhong 1，3)
1)Department of Surveying and Geoinformatics, Tongji University, Shanghai 2000922Dept. of Remote Sensing and Surveying and Mapping of the Third Surveying and Design Institute Ltd. Co., Tianjin 3002513)Key Laboratory of Advanced Surveying Engineering,SBSM, Shanghai 200092
Abstract A data processing method for the precision surveying of ballastless track highspeed railway is put forward:first, choosing the compatible points in the control network by quasistable adjustment, then, adjusting the control network with the adjustment model of indirect observation in which the Baarda gross errors detection and Helmert variance component estimation are used. This kind of software for precision surveying data processing has been developed and tested by use of real surveying data. The data processing results show that the adjustment accuracy and reliability of the control network can be improved with this method.
Key words ：
ballastless track high-speed railway
adjustment of indirect observations
steady balancing adjustment
gross errors detection
variance component estimation
Received: 01 January 1900
Corresponding Authors:
Cai Shiyi
Cite this article:
Cai Shiyi ,Li Bofeng ,Shi Debin et al. DATA PROCESSING IN PRECISION SURVEYING OF BALLASTLESS TRACK HIGH-SPEED RAILWAY[J]. , 2008, 28(1): 114-117.
Cai Shiyi ,Li Bofeng ,Shi Debin et al. DATA PROCESSING IN PRECISION SURVEYING OF BALLASTLESS TRACK HIGH-SPEED RAILWAY[J]. jgg, 2008, 28(1): 114-117.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2008/V28/I1/114
[1]
WANG Wei,XU Fen,WANG Yupu. A Preprocess Method for Gross Error Detection Based on Wavelet Analysis
[2]
XIE Bo, LIU Lianwang. Calculation of Rank-Defective Indirect Adjustment Model with Constraint by Inverting Block Matrix
[3]
LI Sheng,JIANG Lei,HU Jiuchang,WANG Zhicheng. Research on the Influence of Primary Term Scale Coefficient Correction on Gravity Field Change in Hainan
[4]
TAO Guoqiang. Gross Error Detection and Noise Estimation of GNSS Coordinate Time Series Based on Singular Spectrum Analysis
[5]
XU Wei,Lü Zhiping,DONG Hang,KUANG Yingcai,YANG Kaichun,HUANG Hui. Gross Error Detection of GNSS Coordinate Time Series on Three-Dimensional Directions
[6]
ZHANG Qiankun, LIU Xiaosheng. An Optimization Method for Single Point Positioning Stochastic Model of Beidou Hybrid System
[7]
WANG Jielong,WANG Zhanghui,CHEN Yi. A New Method to Estimate Gross Errors——Prior-Variance Undecided Parameter Method
[8]
YANG Sheng, HU Zhigang, ZHAO Qile, ZHANG Huichao. Principle and Precision Verification of UWB Positioning Based on TOF
[9]
WANG Jielong,CHEN Yi. General Formulae of Extended Helmert Type for Estimating Variance Components
[10]
PAN Xiong, YANG Yufeng,OU Jikun,MEI Changsong,QING Chenxin. Performance Evaluation and Analysis of the Final Stage of BDS-2 Satellite Clock Design Period
[11]
WANG Leyang,DING Rui,WU Lulu. Partial EIV Model Variance Component Estimation and Accuracy Evaluation of SUT Method by Deviation Correction
[12]
GUO Xinwei,TIAN Jie,NIE Jianliang,TAI He,JIN Xinyang,DENG He,ZHANG Tao. Establishment of Horizontal Velocity Field Grid Model in Xinjiang Based on Precise Point Positioning and Adaptive Least-Squares Collocation
[13]
LIU Tianjun，WANG Jian，HAN Houzeng，NING Yipeng，YU Hang. Exponential Weighted Helmert Variance Component Estimation for GPS/BDS Combined Positioning with Satellite Classification
[14]
LIU Jinhai,TU Rui,ZHANG Rui, ZHANG Pengfei, LU Xiaochun. Application of Helmert Variance Component Estimation in GPS/GLONASS/BDS Combined Positioning Weight Determination
[15]
LONG Xin,ZHANG Xianyun,DENG Xiaodong,LI Ting,HU Sihua. Helmert Variance Component Estimation Considering Quasi Observation of Kalman Filter and Its Application in Combined GPS/BDS PPP
