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作者:

Gao, Qiang (Gao, Qiang.) | Jin, Shan (Jin, Shan.) | Wang, Tieliu (Wang, Tieliu.)

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CPCI-S EI Scopus

摘要:

The GPS / INS integrated navigation system performance will significantly decrease during GPS outages. In this paper, we study an new integrated navigation algorithm based on Adaptive Neural- fuzzy Inference System (ANFIS). The algorithm adopted Kalman filter with pseudo-range and pseudo-range rate observations when the number of GPS satellites was not less 4. Otherwise, ANFIS was used to estimate the navigation errors and restrain the increasing INS errors to achieve integrated navigation. The new algorithm can improve the performance of integrated system effectively and enhance the horizontal position accuracy than traditional tight integration algorithms. Especially, the method is applicable to the complex work environment of navigation systems of ships.

关键词:

kalman filtering tight integration integrated navigatio adaptive neuro-fuzzy inference system

作者机构:

  • [ 1 ] [Gao, Qiang]Beijing Univ Technol, Coll Elect Info & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Jin, Shan]Beijing Univ Technol, Coll Elect Info & Control Engn, Beijing, Peoples R China
  • [ 3 ] [Wang, Tieliu]Beijing Univ Technol, Coll Elect Info & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Gao, Qiang]Beijing Univ Technol, Coll Elect Info & Control Engn, Beijing, Peoples R China

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来源 :

MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8

ISSN: 1022-6680

年份: 2012

卷: 433-440

页码: 4065-4070

语种: 英文

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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