An improved LANDMARC method based on different neighbor reference nodes

doi:10.13878/j.cnki.jnuist.2019.05.015

2025-5-29- 17

Home > Archive>Volume 11, Issue 5, 2019 >621-624. DOI:10.13878/j.cnki.jnuist.2019.05.015

An improved LANDMARC method based on different neighbor reference nodes
DOI:
                        10.13878/j.cnki.jnuist.2019.05.015
                    
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                        XIE YaqinXIE Yaqin
School of Electronic and Information Engineering, Nanjing University of Information Science&Technology, Nanjing 210044;National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096
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WANG ChaoWANG Chao
School of Electronic and Information Engineering, Nanjing University of Information Science&Technology, Nanjing 210044
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Abstract:

For radio frequency identification using the LANDMARC indoor positioning system,k-nearest neighbor reference tags that meet certain conditionswere selected,and the final position of the unknown tag was estimated according to those reference tags.However,the methods of selecting of the number of adjacent reference tags are also blindness.To solve this problem,the reference tag thatis nearest the unknown node is selected as an unknown point; then,the optimal number k is obtained by searching all feasible k values.Simulation results demonstrate that the performance of the improved LANDMARC algorithm is better than the traditional LANDMARC algorithm,and the accuracy improved by approximately 10%.

Key words:neighbor reference nodes;LANDMARC algorithm;indoor positioning;radio frequency identification

Reference

[1] 邹亮,潘洲.基于2.4 GHz与5 GHz信号的WiFi指纹定位算法研究[J].科学技术与工程,2015,15(3):280-284 ZOU Liang,PAN Zhou.Study on wi fi fingerprintlocalization algorithm based on 2.4 GHz and 5 GHz signal[J].Science Technology and Engineering,2015,15(3):280-284

[2] 尚少锋,张雪英,王峰,等.一种基于RSSI校正的加权质心定位算法[J].科学技术与工程,2013,13(10):2832-2835,2840 SHANG Shaofeng,ZHANG Xueying,WANG Feng,et al.A weighted centroid localization algorithm based on RSSI correction[J].Science Technology and Engineering,2013,13(10):2832-2835,2840

[3] 王沁,何杰,张前雄,等.测距误差分级的室内TOA定位算法[J].仪器仪表学报,2011,32(12):2851-2856 WANG Qin,HE Jie,ZHANG Qianxiong,et al.Ranging error classification based indoor TOA localization algorithm[J].Chinese Journal of Scientific Instrument,2011,32(12):2851-2856

[4] 黄俊,邹传云,何毅,等.基于RFID的BVIRE算法研究与改进[J].微型机与应用,2014,33(23):72-74 HUANG Jun,ZOU Chuanyun,HE Yi,et al.Research and improvement of BVIRE algorithm based on RFID[J].Microcomputer & its Applications,2014,33(23):72-74

[5] BAO Hui,ZHI Jiuying.Improved location algorithm of VIRE based on RFiD[J].Electricity,2014,25(2):51-54

[6] 马捷中,刘云超,郭阳明,等.基于最近邻居的区域定位改进算法[J].西北工业大学学报,2015,33(1):93-97 MA Jiezhong,LIU Yunchao,GUO Yangming,et al.Improving location algorithm with LANDMARC system[J].Journal of Northwestern Polytechnical University,2015,33(1):93-97

[7] 马翠红,丁建南,杨友良,等.基于改进的LANDMARC算法的空间定位实验[J].河北联合大学学报(自然科学版),2015,37(1):83-89 MA Cuihong,DING Jiannan,YANG Youliang,et al.Spatial location experiment based on improved LANDMARC[J].Journal of Hebei United University Natural Sclence Edition,2015,37(1):83-89

[8] 张玲玉.LANDMARC定位系统及其算法的研究[D].长沙:中南大学,2014 ZHANG Lingyu.The Research of LANDMARC positioning system and its application[D].Changsha:Central South University,2014

[9] 杨辉.基于LANDMARC系统的室内定位算法的研究与改进[D].福州:福建师范大学,2012 YANG Hui.Research and improvements of indoor location algorithm based on LANDMARC System[D].Fuzhou:Fujian Normal University,2012

[10] Khan M A,Antiwal V K.Location estimation technique using extended 3-d LANDMARC algorithm for passive RFID tag[C]//2009 IEEE International Advance Computing Conference,Patiala,India,2009:249-253

[11] Liu H,Darabi H,Banerjee P,et al.Survey of wireless indoor positioning techniques and systems[J].IEEE Transactions on Systems,Man and Cybernetics,Part c (Applications and Reviews),2007,37(6):1067-1080

[12] Sansanayuth T,Suksompong P,Chareonlarpnopparut C,et al.RFID 2D-localization improvement using modified LANDMARC with linear MMSE estimation[C]//2013 13th International Symposium on Communications and Information Technologies (ISCIT),Surat Thani,Thailand,2013:133-137

[13] Yeh C H,Su S F.Enhance LANDMARC from the fundamentals[C]//2013 International Conference on Advanced Robotics and Intelligent Systems,Tainan,Taiwan,China,2013:23-27

[14] 王远哲,毛陆虹,刘辉,等.基于参考标签的射频识别定位算法研究与应用[J].通信学报,2010,31(2):86-92 WANG Yuanzhe,MAO Luhong,LIU Hui,et al.Research and application of RFID location algorithm based on reference tags[J].Journal on Communications,2010,31(2):86-92

[15] 韩下林,赵卫东,季军,等.基于RFID技术的室内定位算法及其改进[J].计算机工程,2008,34(22):266-267,270 HAN Xialin,ZHAO Weidong,JI Jun,et al.Indoor location algorithm based on RFID technology and its improvement[J].Computer Engineering,2008,34(22):266-267,270

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XIE Yaqin, WANG Chao. An improved LANDMARC method based on different neighbor reference nodes[J]. Journal of Nanjing University of Information Science & Technology,2019,11(5):621-624

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Received:August 16,2017
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