摘要
讨论了WiFi室内定位技术中常用的定位方法,并以位置指纹匹配方法为例,详细分析了其定位算法及精度。在此基础上,提出了基于最小二乘的接收信号强度匹配方法。在仿真场景下,分别对该算法进行了静态和动态的实验。结果表明,与位置指纹匹配方法相比,基于最小二乘的匹配方法可以达到子格网的定位精度。
The principle and application of WiFi indoor positioning are discussed. Taking the location fingerprint matching algorithm as an example, the algorithm and positioning accuracy are analyzed in detail. Based on this, a RSSI matching algorithm based on least squares has been put forward. In the simulation scenario, we test the algorithm in the experiment of static and dynamic positioning. The results show that the positioning accuracy can reach sub-grid level compared to the location fingerprint matching algorithm.
出处
《测绘地理信息》
2015年第3期60-62,共3页
Journal of Geomatics
关键词
WiFi室内定位
最小二乘匹配
位置指纹匹配
WiFi indoor positioning
least squares matching
location fingerprint matching
