首页> 外文会议>Proceedings of the national technical meeting : "Vision 2010: Present and future" >Determination of Integrated Navigation System Requirements for a Shallow Water AUV Using Off The Shelf Hardware
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Determination of Integrated Navigation System Requirements for a Shallow Water AUV Using Off The Shelf Hardware

机译:使用现成的硬件确定浅水AUV的集成导航系统要求

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There is a current need for autonomous underwater vehicles (AUV) to support various naval missions, some of which are covert in nature. These missions require an accurate knowledge of position, velocity and attitude to support bottom mapping, environmental data gathering, object identificationAocation and monitoring junctions.rnThis paper presents the results of simulation studies that document the current state of the art capabilities to provide accurate navigation information to support AUV missions. An integrated navigation suite was utilized and was composed of an inertial navigator, Doppler velocity log, GPS receiver, depth sensor and processor incorporating a Kalman filter. The equipment considered in this study are representative of those suitable for an A UV based on size and power constraints.rnThe paper documents the error models used in the simulation as well as assumptions made with associated rationale.rnThe simulation studies were conducted for different mission scenarios including long endurance missions requiring covert A UV operation. The effects of initial sensor and system calibration, vehicle speed, ship maneuvers, geophysical effects, availability of accurate position fixes and zero velocity update (AUV sitting on the bottom) is provided.rnSensitivity of navigation performance to improved sensor capabilities was also studied. The improved error models used and the results obtained are presented. This serves as a basis for determining the most productive areas for improving navigation performance.
机译:当前需要自主水下航行器(AUV)来支持各种海军任务,其中一些任务是秘密的。这些任务需要对位置,速度和姿态有准确的了解,以支持海底地图绘制,环境数据收集,物体识别,接合和监视交界处。本文介绍了仿真研究的结果,这些研究记录了可提供准确导航信息的当前技术水平。支持AUV任务。利用了集成导航套件,该套件由惯性导航仪,多普勒速度测井仪,GPS接收器,深度传感器和结合了卡尔曼滤波器的处理器组成。本研究中考虑的设备代表了基于尺寸和功率限制而适用于A UV的设备.rn本文记录了仿真中使用的误差模型以及相关理论的假设.rn针对不同任务场景进行了仿真研究包括需要进行秘密A紫外线行动的长期耐力任务。提供了初始传感器和系统校准,车速,船舶操纵,地球物理效应,精确定位的可用性和零速度更新(AUV位于底部)的影响。还研究了导航性能对改进传感器功能的敏感性。提出了改进的误差模型并获得了结果。这是确定提高导航性能的最有效领域的基础。

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