Space Registration Algorithm Based on Constrictive Total Least Squares

摘要：

The precision of space registration is generally low with the situation of a big random error in radar network. In the case of neglecting model linearization errors, this shortcoming is due to the fact that the coefficient matrix of measurement equation exists errors. This paper presents the constrictive total least squares algorithm based on the Earth centered Earth-fixed (ECEF) coordinates, which exploits the correlation among coefficient matrix errors. Simulation results show that the method has higher registration accuracy and faster convergence speed, compared with least squares and generalized least squares algorithm.

关键词： constrictive total least squares space registration radar network sensor fusion

作者: Lei Hu Yue-song Lin Yun-fei Guo

作者单位: School of Automation Hangzhou Dianzi University Hangzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2721-2724

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）