李逸龙, 王万宁, 胡博, et al. Bluetooth indoor grid location system design based on machine learning[J]. 2019, 32(9): 22-24+54. DOI: 10.13992/j.cnki.tetas.2019.09.005.
基于机器学习的室内栅格化蓝牙定位系统设计
摘要
蓝牙通信模组的小型化、低功耗和低成本特点
为基于蓝牙定位的方法提供了硬件基础。本文以室内栅格化蓝牙定位为定位基础
通过机器学习方式
对获取到的多单元蓝牙设备定位信息进行迭代校准。本设计能够形成精准的室内栅格化位置信息。
Abstract
The characteristics of bluetooth communication module are miniaturization
low power consumption and low cost
which provide hardware basis for bluetooth location method. In this paper
bluetooth location is used into indoor grid model
and the location information of multi-cell bluetooth equipment is iteratively calibrated by machine learning method. This design can form precise indoor grid location information.