Robust Visible Light-Based Positioning Under Unknown User Device Orientation Angle

Bingpeng Zhou, An Liu, V. Lau
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引用次数: 10

Abstract

In this paper, the localization issue for LiFi users is studied. Due to the nonlinear dependency of received visible light strength on user geometric location parameters, LiFi localization is a non-convex problem and hence it is of great challenge. In order to reduce the problem complexity, previous solutions usually require a known height of user equipment or a perfect alignment of transceiver orientation angles, which limits the application of such solutions. To solve this problem, we propose a novel algorithm to achieve an easy LiFi localization solution without any requirement on perfect alignment transceiver orientations or prior knowledge of user equipment height. By exploring the inherent convex structure of the problem, the proposed algorithm gives an efficient closed-form update equation for both user location and orientation angle, thus achieving an accurate solution with fast convergence rate. The performance of the proposed localization algorithm is verified by simulations, and it is shown that the proposed algorithm can achieve a huge localization performance gain over existing approaches due to the joint optimization of user location and orientation angle as well as the problem-specific parameter update rule design.
未知用户设备方向角度下基于可见光的鲁棒定位
本文主要研究了LiFi用户的定位问题。由于接收到的可见光强度对用户几何位置参数的非线性依赖,LiFi定位是一个非凸问题,因此具有很大的挑战性。为了降低问题的复杂性,以往的解决方案通常需要已知用户设备的高度或收发器定向角的完美对准,这限制了此类解决方案的应用。为了解决这个问题,我们提出了一种新的算法来实现简单的LiFi定位解决方案,而不需要完全对准收发器方向或预先知道用户设备高度。该算法通过探索问题固有的凸结构,对用户位置和方向角都给出了有效的闭式更新方程,从而获得了精确的解,收敛速度快。通过仿真验证了所提定位算法的性能,表明所提算法通过对用户位置和方向角度的联合优化以及针对具体问题的参数更新规则设计,比现有方法获得了较大的定位性能增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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