摘要
近年来,基于RFID室内定位技术越来越广泛应用,其中LANDMARC室内定位系统最近邻近算法成为主流算法,针对经典LANDMARC算法中多径效应、噪声随机变量影响以及各种形式的障碍物等复杂环境的存在,使得阅读器读取能力下降,影响最邻近标签的选择,进而使得系统定位精度下降,结合数据融合领域中的表决算法提出一定的改进方案,该改进算法能够克服复杂环境产生的影响,剔除不良标签,更加准确的计算出待测标签的定位位置,相较于经典LANDMARC算法,进一步提高了室内定位的精度及收敛速度。
Recently,indoor location technology based on RFID technology is more and more widely used,indoor location of LANDMARC system nearby algorithm becomes the mainstream,in view of the classic LANDMARC algorithm in the existence of complex environment such as multipath effect,random noise variable and all kinds of obstacles that making the reader reads ability to drop and affecting the choice of the nearest label, which makes the system positioning accuracy. Combined with voting algorithm in the field of data fusion an improved solution is put forward,the improved algorithm can overcome the impact of complex environment,eliminate bad labels, more accurately calculate the positioning of the label location,compared with the classical algorithm of LANDMARC,it further improves the indoor positioning precision and convergence speed.
作者
刘小红
苏湛
徐青
沈昱明
LIU Xiao-hong;SU Zhan;XU Qing;SHEN Yu-ming(School of Optical-Electrical and Computer Engineering,Shanghai University of Science and Technology,Shanghai 200093,China)
出处
《信息技术》
2016年第12期181-184,共4页
Information Technology
