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首页> 外文期刊>International Journal of Distributed Sensor Networks >Mobile Sensor Waypoint Navigation via RF-Based Angle of Arrival Localization
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Mobile Sensor Waypoint Navigation via RF-Based Angle of Arrival Localization

机译:通过基于RF的到达角度进行移动传感器航点导航

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Over the past decade, wireless sensor networks haveadvanced in terms of hardware design, communication protocols,and resource efficiency. Recently, there has been growing interestin mobility, and several small-profile sensing devices that controltheir own movement have been developed. Unfortunately,resource constraints inhibit the use of traditional navigationmethods because these typically require bulky, expensive sensors,substantial memory, and a generous power supply. Therefore,alternative navigation techniques are required. In this paper, wepresent a navigation system implemented entirely on resource-constrainedsensors. Localization is realized using triangulationin conjunction with radio interferometric angle-of-arrival estimation. A digital compass is employed to keep the mobile nodeon the desired trajectory. We also present a variation of theapproach that uses a Kalman filter to estimate heading withoutusing the compass. We demonstrate that a resource-constrainedmobile sensor can accurately perform waypoint navigation withan average position error of 0.95 m.
机译:在过去的十年中,无线传感器网络在硬件设计,通信协议和资源效率方面都取得了进步。近来,人们对移动性的兴趣日益增长,并且已经开发了几种控制其自身移动的小型感测设备。不幸的是,资源限制限制了传统导航方法的使用,因为这些方法通常需要笨重,昂贵的传感器,大量存储空间和大量电源。因此,需要替代导航技术。在本文中,我们提出了一种完全在资源受限的传感器上实现的导航系统。使用三角测量结合无线电干涉到达角估计来实现定位。采用数字罗盘将移动节点保持在所需轨迹上。我们还提出了一种使用卡尔曼滤波器来估计航向而无需使用指南针的方法的变体。我们证明了一种资源受限的移动传感器可以准确地执行航点导航,平均位置误差为0.95µm。

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