• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Gao, Z. (Gao, Z..) | Li, D. (Li, D..) (学者:李冬)

收录:

Scopus PKU CSCD

摘要:

Performance improvement of integrated inertial navigation system utilizing Micro-Electro-Mechanical-System (MEMS) and GPS is described in this paper. Our method is based on using a Neural Network (NN) to intelligently aid the GPS/INS coupled navigation system in the outages of GPS signals. First the model is built, the input of Neural Network is the same as the input of inertial navigation, the needed parameters can be gotten through the network training and combination with the Kalman filter to aid the INS/GPS coupled with the navigation system. The test results indicate that the proposed methods can efficiently compensate for GPS updates during short outages. The simulation results show the effectiveness of the method.

关键词:

GPS update; INS/GPS; MEMS; Neural network

作者机构:

  • [ 1 ] [Gao, Z.]College of Mechanical Eng. and Applied ET, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Li, D.]College of Mechanical Eng. and Applied ET, Beijing University of Technology, Beijing, 100124, China

通讯作者信息:

  • [Gao, Z.]College of Mechanical Eng. and Applied ET, Beijing University of Technology, Beijing, 100124, China

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

Chinese Journal of Sensors and Actuators

ISSN: 1004-1699

年份: 2009

期: 9

卷: 22

页码: 1356-1360

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

在线人数/总访问数:1453/3874307
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司