REGULARIZATION COMBINED WITH ROUST ESTIMATIONAND ITS APPLICATION FOR GPS RAPID POSITIONING
Chang Zhiqiao; Hao Jinming; Zhang Chengjun; and Cui Jianyong
Institute of Surveying and Mapping, PLA University of Information Engineering, Zhengzhou 450052
Abstract In order to solve the problems of the normal equation being ill-conditioned and observations containing outliers in GPS rapid positioning, a new robust estimateregularized robust estimate based on the idea of robust Mestimation is proposed. Under this method can solve the robust estimation of illposed problems in geodesy. The computation results of GPS data show that the new estimator has the characteristics of resisting outliers, high precision and good stability.
Key words ：
GPS rapid positioning
Tikhonov regularization method
ill-posed problem
robust estimator
regularized robust estimator
Received: 01 January 1900
Corresponding Authors:
Chang Zhiqiao
Cite this article:
Chang Zhiqiao,Hao Jinming,Zhang Chengjun et al. REGULARIZATION COMBINED WITH ROUST ESTIMATIONAND ITS APPLICATION FOR GPS RAPID POSITIONING[J]. , 2008, 28(3): 83-86.
Chang Zhiqiao,Hao Jinming,Zhang Chengjun et al. REGULARIZATION COMBINED WITH ROUST ESTIMATIONAND ITS APPLICATION FOR GPS RAPID POSITIONING[J]. jgg, 2008, 28(3): 83-86.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2008/V28/I3/83
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