Bayesian method for detection of gross errors in GPS network

摘要：

This paper will mainly discuss the approaches to gross errors detection in surveying adjustment utilizing the modern Bayesian theories and methods. Fusing prior information with observing information, Bayesian methods for gross errors detection are put forward; especially some effective measures are used to avoid masking and swamping. Furthermore, the new method for gross errors detection is used in the GPS network.

关键词： Bayesian method Classification Variable Masking MCMC Algorithm GPS network

作者: HENG Guanghui LI Tao GUI Qingming

作者单位: Institute of Science, Information Engineering University, Zhengzhou 450001, P.R.China

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-7

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）