基于分层定位模型的RFID定位算法研究

识别和定位为智能停车场等服务领域提供关键信息,基于RFID的LANDMARC算法为常见的室内定位方法。文中对低成本、高精度的经典室内定位算法LANDMARC进行分析,针对其在定位过程中单纯根据信号强度的欧几里得距离选择节点进行定位计算的不足,提出基于双层定位模型的算法D-LANDMRAC。该算法主要由初步定位和精确定位两部分组成,初步定位过滤掉问题参考标签,再基于“距离-损耗冶公式利用标签之间信号强度差进行精确定位。仿真结果表明,相比LANDMARC算法,D-LANDMRAC算法定位精度有了明显的提高,并且定位误差的分布更加均衡。

Study on RFID Location Algorithm Based on Hierarchical Location Model

Identification and location provides critical information for modern intelligent parking system. The indoor location-sensing sys-tem LANDMARC based on RFID is used commonly. In this paper,analyze the classical LANDMARC algorithm with low cost and high accuracy,and propose a new indoor location algorithm D-LANDMARC based on two layer location model to avoid the error caused by using only the Euclidian distance of RSSI to select nodes for location computing. This algorithm is mainly composed of two parts,prelimi-nary locating and precise locating. Preliminary location filters out the reference label,and then based on the formula of ＆quot;distance-loss＆quot;which uses tags signal strength difference for precise positioning. Compared with LANDMARC algorithm,the simulation result show that the method enhances the precision of indoor localization and has more balanced distribution of location error.