1、 摘摘 要要 自 1998 年，蓝牙技术由爱立信、IBM 等 5 家公司联合推出起，其作为一种新 型的无线网络技术，被广大研究爱好者们应用于各大领域，其中蓝牙无线定位领域 已取得相当可观的成就。目前已有的蓝牙室内定位大都是基于移动设备的定位，本 课题设计提出一种基于蓝牙无线信号网和位置指纹法的无设备室内定位方法。 设计分为离线采样和在线测试两阶段。 离线采样阶段采集蓝牙节点的 RSSI （接 收信号强度）值，关联采集时的位置信息，构建一个位置指纹数据库；在线测试阶 段，采集此时蓝牙节点的 RSSI 值，比对数据库中的指纹信息，确定测试目标位置。 本设计基于 eclipse 平台，通过建立蓝牙无
2、线信号网，编写测试手机采集蓝牙 节点的 RSSI 值、 显示手机与测试手机之间的数据通讯以及显示手机的数据处理等 Android 应用程序，构建位置指纹数据库，通过最邻近算法计算确定位置。 关键词：关键词：无设备室内定位、蓝牙技术、位置指纹法、最邻近算法。 AbstractAbstract Ericsson and IBM, together with the other three companies launched Bluetooth in 1998, since which, this technology was applied to various areas by many a
3、Bluetooth fan. Now Bluetooth wireless positioning system has made considerable achievements. But so far, Bluetooth indoor positioning is mainly based on the positioning of mobile devices. Therefore, this subject design puts forward a Device-Free indoor positioning approach, which is on the basis of
4、Bluetooth wireless signal networks and fingerprinting technology. The design is divided into two stages: off-line sampling and online testing. On the first stage, the designer will collect the RSSI (Received Signal Strength Indicator) value of Bluetooth node, combine the location information when co
5、llecting, and then establish a database of fingerprint. And on the second stage, the designer will collect the RSSI value of Bluetooth node at the very moment, compare the fingerprint information in the database, and then determine the location of the testing target. Via setting up Bluetooth wireles
6、s signal networks, compiling the RSSI value of Bluetooth node collected by test mobiles, and revealing Android application program such as the data communication between mobiles and test mobiles, this design will employ the platform of eclipse, establish the database of fingerprint, and calculate and determine the location by nearest neighbor algorithm. Keywords:Keywords: Device-Free indoor positioning, Bluetooth technology, fingerprinting technology, nearest neigh
