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GPS/INS Integration Aided with Gyroscope-Free IMU for Pedestrian Applications.

机译:GPS / INS集成通过无陀螺仪IMU辅助行人应用。

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摘要

This thesis investigates the use of a distributed configuration of accelerometers known as a gyroscope-free inertial measurement unit (GFIMU) as an aid to GPS/INS integration. While a GFIMU is theoretically capable of replacing a traditional strapdown IMU, there are several practical issues that make the approach less than ideal. Therefore, a combination of a GFIMU and a tri-axial gyroscope, referred to as GFIMU+ herein, is designed and tested. Inertial navigation with a GFIMU+ is called Gyroscope free inertial navigation + (GFIN+).;Methods used to de-noise inertial sensor measurements are discussed and implemented. The de-noised measurements are used to estimate the de-noised GFIMU+ estimates.;The performance of the GFIN+ system is evaluated in the field in different operating environments and different placements of the GFIMU. The results show that de-noising improves the results in most of the cases and an average improvement of about 30% horizontal RMS is seen as compared to GPS integrated with single MEMS based INS.;The primary piece of equipment required for the formation of a GFIMU+ is the associated configuration of accelerometers. Five MEMS IMUs were rigidly attached to a compact, DelrinRTM block for a prototype GFIMU+. The five tri-axial accelerometer measurements and tri-axial gyroscope measurements are combined in an Extended Kalman Filter (EKF) to obtain an estimate of angular velocity. The specific force and angular velocity estimates are inputs to the GPS/INS tight integration software.
机译:本文研究了称为无陀螺仪惯性测量单元(GFIMU)的加速度计的分布式配置作为GPS / INS集成辅助工具的使用。尽管GFIMU在理论上可以替代传统的捷联式IMU,但仍有一些实际问题使该方法不尽理想。因此,设计并测试了GFIMU和三轴陀螺仪的组合(在本文中称为GFIMU +)。使用GFIMU +的惯性导航称为无陀螺仪惯性导航+(GFIN +)。讨论并实现了用于对惯性传感器测量进行消噪的方法。降噪后的测量值用于估计降噪后的GFIMU +估计值。GFIN +系统的性能在不同的工作环境和GFIMU的不同位置中进行了现场评估。结果表明,与集成了基于MEMS的单个INS的GPS相比,降噪在大多数情况下可以改善结果,并且可以将水平RMS平均提高约30%。 GFIMU +是加速度计的相关配置。五个MEMS IMU牢固地连接到用于原型GFIMU +的紧凑型DelrinRTM模块上。在扩展卡尔曼滤波器(EKF)中组合了五个三轴加速度计测量值和三轴陀螺仪测量值,以获得角速度的估计值。比力和角速度估计值输入到GPS / INS紧密集成软件中。

著录项

  • 作者

    Pahadia, Anshu.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Sc.
  • 年度 2011
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:45:31

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