Gross Error Detectability and Identifiability Analysis in Track Control Network for High-Speed Railway Based on GEJE

Author:

Yan Guangfeng1,Cen Minyi2,Li Yangtenglong3

Affiliation:

1. Ph.D. Candidate, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong Univ., Chengdu 611756, People’s Republic of China; Ph.D. Candidate, MOE Key Laboratory of High-Speed Railway Engineering, Southwest Jiaotong Univ., Chengdu 610031, People’s Republic of China; Ph.D. Candidate, State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Railway Safety, Southwest Jiaotong Univ., Chengdu 611756, People’s Republic of China.

2. Professor, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong Univ., Chengdu 611756, People’s Republic of China; Professor, MOE Key Laboratory of High-Speed Railway Engineering, Southwest Jiaotong Univ., Chengdu 610031, People’s Republic of China; Professor, State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Railway Safety, Southwest Jiaotong Univ., Chengdu 611756, People’s Republic of China (corresponding author).

3. Lecturer, College of Earth Sciences, Chengdu Univ. of Technology, Chengdu 610059, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Reference21 articles.

1. Formulation of L1 Norm Minimization in Gauss-Markov Models

2. A testing procedure for use in geodetic networks;Baarda W.;Neth. Geod. Commission Publ. Geod.,1968

3. Gross error diagnostics before least squares adjustment of observations

4. Multiple outlier detection by evaluating redundancy contributions of observations

5. Förstner W. 1983. “Reliability and discernability of extended Gauss-Markov models.” In Proc. Seminar on Mathematical Models to Outliers and Systematic Errors Series A No. 98 79–103. Munich Germany: Deutsche Geodätische Kommision.

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