面向停车场的可见光导航定位研究

Research on Visible Light Navigation and Positioning for Parking Lots

近年来,随着城市的发展,我国汽车保有量迅速增长,造成停车难的问题,而建筑物干扰下GPS定位技术不能应用,基于可见光的室内定位技术近年来发展迅速,具有抗电磁干扰、定位精度高等优点。该文介绍了可见光室内传播模型,结合停车场空间结构特点设计了LED布局,对RSS定位方法进行介绍,研究了基于加权质心的RSS算法,比较选取了合适的k值,并利用卡尔曼滤波进行目标跟踪,最后通过MATLAB仿真分析了算法的性能,验证了算法在停车场导航定位系统的可行性。

In recent years,with the development of cities,the number of cars in my country has grown rapidly,causing difficulties in parking.GPS positioning technology cannot be applied under interference from buildings.Indoor positioning technology based on visible light has developed rapidly in recent years and has anti-electromagnetic interference and positioning.The advantages of high precision.This article introduces the visible light indoor propagation model,designs the LED layout based on the structural characteristics of the parking lot,introduces the RSS positioning method,studies the RSS algorithm based on the weighted centroid,compares and selects the appropriate k value,and uses Kalman filtering to target tracking,and finally analyzed the performance of the algorithm through MATLAB simulation,verifying the feasibility of the algorithm in the parking lot navigation and positioning system.