首页> 外文会议>Oceans MTS/IEEE KONA >Current Profile Data Aided Positioning for Autonomous Underwater Vehicles
【24h】

Current Profile Data Aided Positioning for Autonomous Underwater Vehicles

机译:自动水下车辆的当前简档数据辅助定位

获取原文

摘要

The positioning problem of current profile data aided dead reckoning (DR) for autonomous underwater vehicle is addressed in this paper. Various types of instrumentations have been developed for ocean exploring, including conductivity temperature and depth (CTD), multi-beam sonar (MBS) and side scan sonar (SSS). During the measurement, the displacement which is going to be generated by DR, global position system (GPS), inertial navigation system (INS), or long baseline (LBL) must be considered seriously, because an ocean diagram measured by these sensors need this information badly. The doppler velocity log (DVL), which plays an important role in generating a reliable displacement, may be out of work sometime. In order to deal with the dropout or failure of DVL, the current track velocity measured by acoustic doppler current profilers (ADCP) is proposed to substitute for the bottom track velocity, which is going to be used by DR algorithm. The post-processing experiment demonstrates that the proposed DR position solution is not only low-cost, but also accurate.
机译:本文解决了自主水下车辆的当前轮廓数据辅助估计(DR)的定位问题。已经开发了各种类型的仪器用于海洋探索,包括电导率温度和深度(CTD),多光束声纳(MBS)和侧扫描声纳(SSS)。在测量期间,必须认真考虑由DR,全球位置系统(GPS),惯性导航系统(INS)或长基线(LBL)产生的位移,因为这些传感器测量的海洋图需要这一点信息很糟糕。多普勒速度日志(DVL)在产生可靠的位移方面发挥着重要作用,可能有时起作用。为了处理DVL的丢失或失效,提出了通过声学多普勒电流分析器(ADCP)测量的当前轨道速度来替代底部轨道速度,该速率将由DR算法使用。后处理实验表明,所提出的DR位置解决方案不仅是低成本,而且还准确。

著录项

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