基于蓝牙4.0的接近度分类室内定位算法

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。

Close Degree Classification of Indoor Positioning Algorithm Based on Bluetooth 4.0

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”.