位置指纹算法关键参数的提取

Study on the Extraction of the Key Parameter of Positioning Fingerprint Algorithm

针对传统的位置指纹定位算法在室内定位中存在着接收信号强度值不稳定以及不同终端设备获取AP信号强度能力不一样的问题,对传统的位置指纹定位算法进行了改进。对离线阶段采集到的RSSI值进行处理,去除了较大误差的样本,利用RSSI信号强度差值取代RSSI值作为信号特征录入Radio Map,减小了由于设备差异而产生的指纹信息误差。测试阶段,在Android和PC平台上进行验证,实验结果表明,改进的算法可以有效地去除离线阶段误差较大的样本并提高了该算法针对不同终端应用的能力。

To solve the problem that the instability of the signal strength value in the traditional location fingerprinting positioning algorithm for indoor position and the existing difference when the different terminal devices receive AP signals. This paper,improves the traditional positioning fingerprint algorithm,and filters the RSSI values during the off-line sampling stage,so that we can eliminate the samples with large errors. We use the RSSI~ difference into the radio map as the singal feature instead of the RSS! value,so that we can reduce the error of the fingerprinting information caused by the difference of devices. During the testing phrase, the tested results on android and PC platform show that the developed algorithm can eliminate the samples with large errors in the off-line stage and improve the ability of adapting to different terminal devices.