战术水下导航系统

R. Hartman, W. Hawkinson, K. Sweeney
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引用次数: 19

摘要

对于个人潜水员来说,水下导航的问题尤其具有挑战性。GPS导航不适用于大多数水下作业,特别是隐蔽作业,因为GPS射频信号在穿透水柱时被衰减到可用水平以下。航位推算方法依赖于磁罗经和近似距离测量,容易受到磁干扰、距离估计不准确和电流诱导漂移的影响。纯惯性导航方法需要昂贵的系统来满足任务精度目标,因为任务长度为几个小时。MEMS惯性传感器、固态罗盘和水基多普勒速度传感器的性能进步,使定位解决方案能够满足美国海军陆战队潜水员的成本和性能目标。霍尼韦尔组织的一个技术开发团队开发了一个独立的原型系统,该系统集成了GPS接收器、惯性测量单元、固态磁力计、压力传感器和多轴多普勒速度传感器,可作为水面或水下导航仪,并使用户能够进行水下测绘。传感器集成方法基于卡尔曼滤波辅助捷联导航。通过捷联导航算法对陀螺和加速度计信息进行处理,生成导航解。扩展的卡尔曼滤波器处理GPS,磁力计,多普勒速度日志(DVL)和深度传感器测量,以帮助导航解决方案和更新传感器误差估计。本文概述了该系统的硬件和软件实现以及夏威夷海岸海洋试验的测试结果。
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Tactical underwater navigation system (TUNS)
The problem of underwater navigation for an individual diver is particularly challenging. GPS navigation is unsuitable for most underwater operations and particularly covert operations use because the GPS RF signal is attenuated below usable levels as it penetrates the water column. Dead reckoning methods, which rely on magnetic compass and approximate distance measurements, are susceptible to magnetic interference, inaccurate distance estimates and current induced drift. Pure inertial navigation methods require expensive systems to meet mission accuracy objectives, due to mission lengths of several hours. Advances in the performance of MEMS inertial sensors, solid state compasses and the development of water based Doppler velocity sensors have enabled a positioning solution that meet USMC diver cost and performance goals. A technology development team organized by Honeywell has developed a self-contained prototype system that integrates a GPS receiver, an inertial measurement unit, a solid state magnetometer, a pressure sensor and a multi-axis Doppler velocity sensor that functions as a surface or underwater navigator and also enables the user to perform underwater surveying and mapping. The sensor integration approach was based on a Kalman filter aided strapdown navigator. Gyro and accelerometer information is processed by the strapdown navigation algorithms to produce navigation solution. An extended Kalman filter processes the GPS, magnetometer, Doppler Velocity Log (DVL), and depth sensor measurement to aid the navigation solution and update sensor error estimates. This paper presents an overview of the system hardware and software implementation as well as test results from ocean trials off the coast of Hawaii.
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