晴雨表辅助GPS拒绝三边测量算法在垂直三维空间中的应用

Alvin Goh Cheng Ann, Alvee Ahmed, G. Soh, S. Foong
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引用次数: 2

摘要

GPS拒绝定位在室内跟踪和导航中的应用越来越广泛。然而,一般文献集中于寻找水平x-y平面内的位置解。我们提出了一种gps拒绝定位算法,与平地相比,该算法的目标是为用户行驶显著的垂直距离提供更好的精度。该算法基于从气压计中获取高度读数,并将三边测量问题简化为二维问题。使用该算法,我们能够以更少的时间和与传统的三维三边测量相当的精度获得三维解。我们的模拟和初始硬件测试表明,与传统的三维算法相比,使用气压计的读数可以减少计算时间,因为测量噪声相对于测量范围增加。我们打算将这项研究的结果应用于一种算法,该算法可以在用户穿过一个区域并为定位网络植入新的锚点的同时,优化三维空间中的节点放置。
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Barometer Assisted GPS Denied Trilateration Algorithm for Traversing Vertical Three-Dimensional Spaces
GPS denied localization has increasing application for indoor tracking and navigation. However, general literature focus on finding a location solution within the horizontal x-y plane. We propose a GPS-denied localization algorithm that targets better accuracy for a user travelling significant vertical distances compared to level ground. This algorithm works on the basis of taking a height reading from a barometer and reducing the trilateration problem into a two-dimensional problem. With this algorithm, we are able to obtain a three-dimensional solution with less time and comparable accuracy to conventional three-dimensional trilateration. Our simulations and initial hardware testing show that utilizing the barometer’s readings could cut the computation time compared to conventional three-dimensional algorithms as measurement noise increases relative to the range measurements. We intend to apply the results of this study to an algorithm that can optimize node placement in three-dimensional space, all while the user travels through an area and plants new anchors for the localization network.
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