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计算机系统应用:2018,27(11):265-270
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基于动态质心迭代与偏差修正的室内定位方法
苏国栋1, 徐世武2, 蔡碧丽1
(1.福建师范大学福清分校 电子与信息工程学院, 福清 350300;2.福建师范大学 协和学院 信息技术系, 福州 350117)
Indoor Positioning Method Based on Dynamic Centroid Iteration and Error Correction
SU Guo-Dong1, XU Shi-Wu2, CAI Bi-Li1
(1.The School of Electronic and Information Engineering, Fuqing Branch of Fujian Normal University, Fuqing 350300, China;2.Department of Information Technology, Concord University College, Fujian Normal University, Fuzhou 350117, China)
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投稿时间:2018-04-17    修订日期:2018-05-08
中文摘要: 射频识别技术(RFID)是室内精确定位的重要技术之一.基于经典LANDMARC算法定位精度不高问题,提出了基于动态质心迭代和偏差修正相结合的定位算法.该算法采用最小关联度为准则,通过将近邻区域质心作为下一个参考标签依次迭代近邻成员,直至与目标标签的关联度低于阈值,实现预定位;通过实施k近邻成员重定位并引入修正系数对预定位坐标进行偏差修正.实验结果表明,相比于LANDMARC算法,该算法的定位准确度得到较大提高.
Abstract:Radio Frequency Identification Technology (RFID) is one of the key technologies of indoor positioning. The traditional LANDMARC location algorithms have poor positioning accuracy. To solve this problem, a novel location algorithm is proposed by combining the dynamic centroid iteration and error correction. It updates nearest neighbors in turn by employing the centroid of the neighboring area as next reference tag which takes the minimum location relationship as the criterion, and achieves the pre-positioning coordinate until the location relationship with the target tag is lower than the threshold. The correction factor is adopted to compensate error of the pre-positioning coordinate by relocating each of k-nearest neighbors. Simulation results show that the proposed algorithm performs better in terms of positioning accuracy than LANDMARC.
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基金项目:2016年福建省中青年教师教育科研项目(科技类)(JAT160573,JAT160574)
引用文本:
苏国栋,徐世武,蔡碧丽.基于动态质心迭代与偏差修正的室内定位方法.计算机系统应用,2018,27(11):265-270
SU Guo-Dong,XU Shi-Wu,CAI Bi-Li.Indoor Positioning Method Based on Dynamic Centroid Iteration and Error Correction.COMPUTER SYSTEMS APPLICATIONS,2018,27(11):265-270

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