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Study on nerve-cell based real-time estimation method for GPS multi-path error

  • Peking University
  • Southeast University, Nanjing

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
出版商IEEE Computer Society
1455-1460
页数6
ISBN(印刷版)9781424420964
DOI
出版状态已出版 - 2008
活动7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, 中国
期限: 12 7月 200815 7月 2008

出版系列

姓名Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
3

会议

会议7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
国家/地区中国
Kunming
时期12/07/0815/07/08

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