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High-precision indoor three-dimensional positioning system based on visible light communication using modified artificial fish swarm algorithm

机译:改进的人工鱼群算法的基于可见光通信的高精度室内三维定位系统

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摘要

Indoor visible light positioning has become a research hotspot owing to its high accuracy, low cost, and easy implementation. However, many existing indoor positioning systems based on visible light communication (VLC) can only achieve two-dimensional (2-D) positioning and those focusing on three-dimensional (3-D) positioning usually contain various sensors or use complex algorithms. Consequently, a high-precision indoor 3-D positioning system based on VLC using modified artificial fish swarm algorithm is proposed, avoiding the problems mentioned above. To simplify the solution procedure of searching for 3-D coordinates, the 3-D positioning problem is transformed into a global optimization problem with the corresponding fitness function designed according to Lambertian radiation pattern. The simulation executed on 1350 points shows an average 3-D positioning error of 4.05 mm in an indoor space of 4mx4mx6m, and 90% positioning errors are below 5.95 mm. Moreover, when tracking a moving target in the positioning space, the average error is 3.57 mm and the maximum error is 7.25 mm. All in all, the system proposed in this paper stands a good chance of widespread application for its excellent performance in indoor 3-D positioning.
机译:室内可见光定位由于其高精度,低成本和易于实现而成为研究热点。但是,许多基于可见光通信(VLC)的现有室内定位系统只能实现二维(2-D)定位,而专注于三维(3-D)定位的系统通常包含各种传感器或使用复杂的算法。因此,提出了一种基于VLC的高精度室内3-D定位系统,该系统采用改进的人工鱼群算法,避免了上述问题。为了简化搜索3D坐标的求解过程,将3D定位问题转换为具有根据朗伯辐射方向图设计的相应适应度函数的全局优化问题。在1350个点上执行的仿真显示,在4mx4mx6m的室内空间中,平均3-D定位误差为4.05 mm,并且90%的定位误差在5.95 mm以下。此外,当在定位空间中跟踪移动目标时,平均误差为3.57 mm,最大误差为7.25 mm。总而言之,本文提出的系统由于其在室内3-D定位中的出色性能,很有可能被广泛应用。

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