基于蓝牙4.0的接近度分类室内定位算法

doi:10.12060/j.issn.1000-7202.2014.06.15

宇航计测技术

基于蓝牙4.0的接近度分类室内定位算法

莫倩¹；熊硕¹

1、北京工商大学计算机与信息工程学院，北京 100048

出版日期:2014-12-15 发布日期:2014-12-15
作者简介:莫倩（1972-），男，博士，副教授，硕士研究生导师，主要研究方向：物联网和数据挖掘。
基金资助:
国家自然科学基金资助项目(71373023），北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201304034)

Close Degree Classification of Indoor Positioning Algorithm Based on Bluetooth 4.0

MO Qian¹；XIONG Shuo¹

1、School of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100048

Online:2014-12-15 Published:2014-12-15

摘要/Abstract

摘要： 蓝牙4.0技术已经广泛应用于手机、平板电脑等移动终端设备，使得利用其实现室内定位具有极其广阔的应用前景。通过对蓝牙4.0技术的研究，根据蓝牙4.0 RSSI损耗特征进行接近度分类，提出一种限定区域k-近邻改进算法。实验结果表明，运用优化后的RSSI指纹定位算法室内定位平均误差可达到dm级，可充分满足商用室内LBS“m级”的定位精度和“s级”响应的需求。

关键词: 室内定位, 蓝牙, 信号强度

Abstract: Bluetooth 4.0 technology has been widely used in mobile phone, tablet computer and mobile terminal equipment.Meanwhile, it makes using of the indoor position has a very broad application prospects. In this report, according to the investigation of the Bluetooth 4.0 technology, to classify as close degree in terms of the loss characteristics of Bluetooth 4.0 RSSI, it proposes an improved algorithm to define the region k-nearest neighbor. Using the optimized algorithm of RSSI fingerprint positionto makes average error of indoor position reach decimeter level. Thus it fully satisfies commercial demand in terms of position accuracy of indoor LBS “decimeter level” and response of “Second level”.

Key words: Indoor location, Bluetooth, Signal strength

莫倩；熊硕. 基于蓝牙4.0的接近度分类室内定位算法[J]. 宇航计测技术, doi: 10.12060/j.issn.1000-7202.2014.06.15.

MO Qian；XIONG Shuo. Close Degree Classification of Indoor Positioning Algorithm Based on Bluetooth 4.0[J]. JOURNAL OF ASTRONAUTIC METROLOGY AND MEASUREMENT, doi: 10.12060/j.issn.1000-7202.2014.06.15.

基于蓝牙4.0的接近度分类室内定位算法

Close Degree Classification of Indoor Positioning Algorithm Based on Bluetooth 4.0

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