基于位置指纹的WiFi室内定位技术是当前室内定位的研究热点。通过自学习补偿结合伪距绝对定位算法,提出基于自学习补偿的室内定位算法,并在客流分析系统中应用该算法进行客流位置、客流流动特点等分析。实际测试表明,该算法具有较好的定位精度和实用效果。
The WLAN indoor positioning technology is a hot research topic. Based on self learning training model and pseudo range absolute positioning algorithm,this paper proposes an adaptive learning algorithm. Through the practical application to passenger-flow analysis system for the study of passenger location and passenger flow feature,it is shown that the algorithm has better positioning accuracy and practical effect.