首页> 外文学位 >Moving base INS/GPS vector gravimetry on a land vehicle.
【24h】

Moving base INS/GPS vector gravimetry on a land vehicle.

机译:在陆地车辆上移动INS / GPS矢量重力仪。

获取原文
获取原文并翻译 | 示例

摘要

The Inertial Navigation System and Global Positioning System (INS/GPS) system has been extensively studied over several decades, mostly for the purpose of navigation and kinematic position. Because the INS system is affected by gravitation, the integration definitely needs gravity data in order to yield accurate results. It is natural to reverse the problem and attempt a measurement of the gravity vector. The gravimetric system based on INS/GPS shows good performances in the airborne scenarios. Moving the system into a ground vehicle will help to improve the resolution of the gravity estimates, considering its lower speed and altitude. However, the system will face much more complicated dynamics and harsh observation conditions.;In this study, a two-stage extended Kalman filter based on processing noise adaptation is used to fix the position gaps and provide prior information of the Inertial Measurement Units (IMU) errors. The kinematic acceleration is computed by both the position method and the phase method. All these procedures improve the steadiness and precision of the system. The advanced wavelet de-noising technique is employed to further isolate the gravity disturbance from the observation errors in the residuals of the novel Kalman filter, previously developed at the Ohio State University (OSU). The final precision of the gravity disturbance estimates is further improved by correlatively filtering the repeated estimates in the frequency domain.;An intensive survey campaign was carried out to test the validities of these techniques. Based on data analysis, the results show significant consistency (as good as 0.6mGal, STD) in the vertical component on the repeated traverses, and comparison to control data indicates an accuracy of 2-3mGal (STD). However, it is also determined that the control data, being interpolated from a database, have an accuracy of approximately 3mGal (STD). Resolution of the estimated gravity disturbance is about 2km, based on 180-s data smoothing and a vehicle speed averaging about 80km/hr. Large scale errors exist in the horizontal gravity estimates. Removing these on the basis of extensive deflection of the vertical control yields repeatability in the horizontal components in the range of 2-15mGal (STD) and agreement with the control at the level of 5-9mGal (STD).
机译:惯性导航系统和全球定位系统(INS / GPS)系统已经进行了数十年的广泛研究,主要是出于导航和运动学定位的目的。由于INS系统受重力影响,因此集成必定需要重力数据才能得出准确的结果。扭转问题并尝试测量重力矢量是很自然的。基于INS / GPS的重量系统在机载场景中表现出良好的性能。考虑到其较低的速度和高度,将系统移至地面车辆将有助于提高重力估计的分辨率。然而,该系统将面临更为复杂的动力学和恶劣的观测条件。在本研究中,基于处理噪声自适应的两级扩展卡尔曼滤波器用于固定位置间隙并提供惯性测量单元(IMU)的先验信息。 )错误。运动加速度是通过位置法和相位法来计算的。所有这些过程提高了系统的稳定性和准确性。先进的小波消噪技术用于进一步将重力扰动与先前在俄亥俄州立大学(OSU)开发的新型卡尔曼滤波器的残差中的观测误差隔离开来。通过在频域中对重复的估计值进行相关过滤,可以进一步提高重力扰动估计值的最终精度。开展了深入的调查活动,以检验这些技术的有效性。根据数据分析,结果显示重复遍历的垂直分量具有显着的一致性(高达0.6mGal,STD),与控制数据的比较表明精度为2-3mGal(STD)。但是,还确定从数据库内插的控制数据的精度约为3mGal(STD)。基于180 s的数据平滑和平均约80 km / hr的车速,估计的重力扰动的分辨率约为2 km。水平重力估计中存在大规模误差。在垂直控件的较大偏移的基础上删除这些控件会在水平组件中产生2-15mGal(STD)范围内的可重复性,并与控件在5-9mGal(STD)级别上达成一致。

著录项

  • 作者

    Li, Xiaopeng.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Remote Sensing.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号