基于LED光源的室内高精度成像定位新方法
发布时间：2018-08-16 10:04
【摘要】：提出了一种依托智能移动终端实现可见光室内定位的方法,该方法通过终端成像组件获取发光二极管光源标签和图像信息,根据光源间的成像位置关系和图像焦距,利用几何光学成像原理计算终端位置坐标。通过可见光成像定位系统模型和几何光学成像原理建立非线性系统模型,使用改进无损卡尔曼滤波算法完成最终的位置解算,理论仿真和实验系统均验证了所提方法的可行性。数据显示该方法能够实现分米级的高精度室内定位。
[Abstract]:In this paper, a method of realizing indoor positioning of visible light based on intelligent mobile terminal is presented. The method acquires light emitting diode light source label and image information through terminal imaging module, according to the imaging position relation and image focal length between light sources. The coordinate of terminal position is calculated by geometric optical imaging principle. The nonlinear system model is established by the visible light imaging positioning system model and the geometric optical imaging principle. The final position calculation is accomplished by using the improved lossless Kalman filter algorithm. The feasibility of the proposed method is verified by both theoretical simulation and experimental system. The data show that the method can achieve high precision indoor positioning at the decimeter level.
【作者单位】： 解放军信息工程大学信息工程学院;中国人民解放军第一五三中心医院;
【基金】：国家自然科学基金(61401513)
【分类号】：TN929.1
，
本文编号：2185654
[Abstract]:In this paper, a method of realizing indoor positioning of visible light based on intelligent mobile terminal is presented. The method acquires light emitting diode light source label and image information through terminal imaging module, according to the imaging position relation and image focal length between light sources. The coordinate of terminal position is calculated by geometric optical imaging principle. The nonlinear system model is established by the visible light imaging positioning system model and the geometric optical imaging principle. The final position calculation is accomplished by using the improved lossless Kalman filter algorithm. The feasibility of the proposed method is verified by both theoretical simulation and experimental system. The data show that the method can achieve high precision indoor positioning at the decimeter level.
【作者单位】： 解放军信息工程大学信息工程学院;中国人民解放军第一五三中心医院;
【基金】：国家自然科学基金(61401513)
【分类号】：TN929.1
，
本文编号：2185654
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