高精度航向测定

A. El-Osery, S. Bruder, D. Laughlin
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引用次数: 7

摘要

在系统上下文的系统中,各种应用程序依赖于个体代理的位置和态度的知识来协作。例如,在战场上观察潜在目标的士兵将该信息传输到基站,然后与无人驾驶飞行器共享以进行监视。如果没有精确的士兵的位置和目标的方位角的知识,移交给无人机将不会带来太多的好处。低成本MEMS惯性测量单元(IMU)的可用性增加了实现能够在各种环境下工作的紧凑型惯性导航系统(INS)的可行性,包括GPS降级或拒绝场景。由于IMU的误差,在合理的时间范围内对设备的姿态进行自我初始化是非常具有挑战性的。在本文中,我们提出了一种新颖的方法,利用独特的磁流体动力学(MHD)角速率传感器(ARS)在旋转配置中,以便在不到一分钟的时间内执行姿态自初始化到4毫弧度以内。此外,还解决了实际环境问题,例如平台振动和基座运动(例如下沉)。
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High-accuracy heading determination
In a system of systems context, a variety of applications are dependent on the knowledge of location and attitude of individual agents in order to collaborate. For example, a soldier on the battle field observing a potential target transmits this information to a base station which then is shared with an unmanned air vehicle for surveillance. Without precise knowledge of the soldier's position and azimuth angle to the target, the handoff to the UAV would not carry much merit. The availability of low-cost MEMS inertial measurement units (IMU) increases the feasibility of realizing a compact inertial navigation systems (INS) capable of operating in a variety of environments, including GPS degraded or denied scenarios. Due to errors in the IMU, it is very challenging to self-initialize the attitude of the device in a reasonable time frame. In this paper, we present a novel approach that utilizes a unique magnetohydrodynamic (MHD) angular rate sensor (ARS) in a carouseling configuration in order to perform attitude self-initialization to within 4-milli radians in less than a minute. Further more, real environmental issues, such as platform vibration and base motion (e.g. sinking) are also addressed.
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