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Underwater Navigation System Solution using MEMS-Mobile Sensors during the GPS Outage

机译:GPS中断期间使用MEMS移动传感器的水下导航系统解决方案

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These position of Unmanned Surface Vehicle (USV) is very important in most navigation applications. The Global Position System (GPS) can be used for navigation system for most applications on the earth's surface, but its signal is not available underwater and indoor areas. Inertial Navigation System (INS) can be used for navigation system in such environments, but it has errors increase over time. This paper presents a method based on the integrated GPS with MEMS (Micro-Electro Mechanical System) INS mobile sensors to enhance the navigation system of USV and provide a continuous navigation solution during GPS outage. In this study, real-time data from GPS, MEMS-INS mobile sensors are fused and integrated by Kalman Filtering (KF); to estimate and correct errors of navigation system when GPS is available. When GPS becomes outage, the MEMS-INS system can provide acceptable navigation system within a not long of time until the GPS system is available. The performance of navigation system based on GPS/MEMS-INS cell phone is tested to a reference path when GPS is available and during its outage on parts of the path.
机译:在大多数导航应用中,无人机的位置非常重要。全球定位系统(GPS)可以用于地球表面上大多数应用的导航系统,但其信号在水下和室内区域均不可用。惯性导航系统(INS)可以在这种环境中用于导航系统,但是随着时间的流逝,误差会增加。本文提出了一种基于集成有MEMS(微机电系统)INS移动传感器的GPS的方法,以增强USV的导航系统并在GPS中断期间提供连续的导航解决方案。在这项研究中,来自GPS,MEMS-INS移动传感器的实时数据通过卡尔曼滤波(KF)进行融合和集成。在GPS可用时估算和纠正导航系统的错误。当GPS发生故障时,MEMS-INS系统可以在短时间内提供可接受的导航系统,直到GPS系统可用为止。当GPS可用时以及在路径的某些部分中断时,将对基于GPS / MEMS-INS手机的导航系统的性能进行测试。

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