论文标题
使用可见光通信的合作对象检测和参数估计
Cooperative Object Detection and Parameter Estimation Using Visible Light Communications
论文作者
论文摘要
可见光通信（VLC）系统是未来室内访问和点对点网络的有希望的候选人。但是，由于房间内的对象，这些系统的性能很容易受到视线（LOS）链路阻塞的影响。在本文中，我们开发了一种概率对象检测方法，该方法利用了用户设备和天花板上收发器之间的LOS链接的阻塞状态，以定位这些对象。目标对象被建模为带有随机半径的圆柱体。可以使用二次编程方法来估算对象的位置和大小。仿真结果表明，衡量对象的中心和半径的根平方错误可能小于$ 1 $ cm和$ 8 $ cm。
Visible light communication (VLC) systems are promising candidates for future indoor access and peer-to-peer networks. The performance of these systems, however, is vulnerable to the line of sight (LOS) link blockage due to objects inside the room. In this paper, we develop a probabilistic object detection method that takes advantage of the blockage status of the LOS links between the user devices and transceivers on the ceiling to locate those objects. The target objects are modeled as cylinders with random radii. The location and size of an object can be estimated by using a quadratic programming approach. Simulation results show that the root-mean-squared error can be less than $1$ cm and $8$ cm for estimating the center and the radius of the object, respectively.
