STUDY ON NERVE-CELL BASED REAL-TIME ESTIMATION METHOD FOR GPS MULTI-PATH ERROR

摘要：

Multi-path effect is the main error source for GPS high precision positioning in near distance differential circumstance. This paper presents a novel method for vehicle navigation in the situation. The current state vector of a vehicle can be used to estimate the state vector in the next interval. Then residual error vector can be computed by using the estimated state vector and the state vector measured by GPS. Finally, two nerve cells are introduced to guarantee real-time estimation reliability: one nerve cell can real-timely distinguish whether the GPS signal includes multi-path error using residual error vector; the other real-timely diagnoses the current precision of vehicle state vector. Vehicle Experiments in the field show that nerve-cell based real-time estimation method can effectively eliminate the effect of GPS multi-path error on positioning precision.

关键词： GPS Multi-path Error Nerve cell Vehicle Navigation

作者: ZHUANG-SHENG ZHU DE-JIAN LU QING WANG

作者单位: Beijing University of Aeronautics and Astronautics, Beijing 10083, China Peking University, Beijing 100871, China Southeast University, Nanjing 210096, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1455-1460

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）