刘志平;李桂南;余航;李增科;

• 1:中国矿业大学环境与测绘学院

摘要(Abstract)：

针对K-近邻法中常规指纹相似度匹配准则未能充分利用测试点和参考点的几何距离信息问题,该文提出了正则化距离准则的Wi-Fi位置指纹室内定位方法。该方法较常规距离准则兼顾了测试点与参考点的指纹距离和可靠几何距离,仅增加了正则化距离和K-近邻位置估算的迭代流程。而且,该方法仅含一个正则化因子,确定方法简便且可解释性好。密集与稀疏参考点格网间距下智能手机Wi-Fi平面定位实验表明,所提方法在正则化距离准则下能够有效提高约20%的定位精度,其中曼氏和欧氏定位中误差不超过2m。

关键词(KeyWords)： Wi-Fi室内定位;位置指纹;K-近邻法;正则化距离准则

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41204011,41504032);; 国家重点研发计划项目(2016YFC0803103,2016YFB0502102);; 精密工程与工业测量国家测绘地理信息局重点实验室开放基金项目(PF2017-12)

作者(Authors): 刘志平;李桂南;余航;李增科;

DOI: 10.16251/j.cnki.1009-2307.2017.12.031

参考文献(References)：

• [1]刘志平,朱丹彤,杨磊,等.狭长受限空间锚节点定位的测距仪双侧自由设站法[J].传感技术学报,2017,30(2):272-277.(LIU Zhiping,ZHU Dantong,YANG Lei,et al.Bilateral-free setting station method using hand-held laser rangerfor anchor node positioning in long-narrow confined spaces[J].Chinese Journal of Sensors and Actuators,2017,30(2):272-277.)
• [2]崔斌,赵西安.一种基于传播模型和位置指纹的混合室内定位方法[J].测绘通报,2015(6):35-38,43.(CUI Bin,ZHAO Xi′an.A hybrid indoor positioning method based on propagation model and location fingerprint[J].Bulletin of Surveying and Mapping,2015(6):35-38,43.)
• [3]HE S,CHAN S H G.Wi-Fi fingerprint-based indoor positioning:recent advances and comparisons[J].IEEE Communications Surveys&Tutorials,2016,18(1):466-490.
• [4]BELMONTE H A,HERNANDEZ P G,ALVAREZ F.Adaptive fingerprinting in multi-sensor fusion for accurate indoor tracking[J].IEEE Sensors Journal,2017,17(15):4983-4998.
• [5]YASSIN A,NASSER Y,AWAD M,et al.Recent advances in indoor localization:a survey on theoretical approaches and applications[J].IEEE Communications Surveys&Tutorials,2017,19(2):1327-1346.
• [6]田洪亮,钱志鸿,梁潇,等.离散度WKNN位置指纹Wi-Fi定位算法[J].哈尔滨工业大学学报,2017,49(5):94-99.(TIAN Hongliang,QIAN Zhihong,LIANG Xiao,et al.Discrete degree WKNN location fingerprinting algorithm based on Wi-Fi[J].Journal of Harbin Institute of Technology,2017,49(5):94-99.)
• [7]王培重,郑南山,张言哲.基于动态K值及AP MAC地址筛选的室内定位算法[J].计算机科学,2016,43(1):163-165.(WANG Peizhong,ZHENG Nanshan,ZHANG Yanzhe.Indoor positioning algorithm based on dynamic K value and AP MAC address match[J].Computer Science,2016,43(1):163-165.)
• [8]刘春燕,王坚.基于几何聚类指纹库的约束KNN室内定位模型[J].武汉大学学报(信息科学版),2014,39(11):1287-1292.(LIU Chunyan,WANG Jian.A constrained KNN indoor positioning model based on a geometric clustering fingerprinting technique[J].Geomatics and Information Science of Wuhan University,2014,39(11):1287-1292.)
• [9]XU X L,TANG Y,WANG X H,et al.Variance-based fingerprint distance adjustment algorithm for indoor localization[J].Journal of Systems Engineering and Electronics,2015,26(6):1191-1201.
• [10]CHEN F,AU W S A,VALAEE S,et al.Received signal strength based indoor positioning using compressive sensing[J].IEEE Transactions on Mobile Computing,2012,11(12):1983-1993.
• [11]李丽娜,马俊,龙跃,等.基于LANDMARC与压缩感知的双段式室内定位算法[J].电子与信息学报,2016,38(7):1631-1637.(LI Lina,MA Jun,Long Yue,et al.Double stage indoor localization algorithm based on LANDMARC and compressive sensing[J].Journal of Electronics&Information Technology,2016,38(7):1631-1637.)
• [12]BISIO I,CERRUTI M,LAVAGETTO F,et al.A trainingless Wi-Fi fingerprint positioning approach over mobile devices[J].IEEE Antennas and Wireless Propagation Letters,2014(13):832-835.
• [13]陈斌涛,刘任任,陈益强,等.动态环境中的Wi-Fi指纹自适应室内定位方法[J].传感技术学报,2015,28(5):729-738.(CHEN Bintao,LIU Renren,CHEN Yiqiang,et al.Wi-Fi fingerprint based self-adaptive indoor localization in the dynamic environment[J].Chinese Journal of Sensors and Actuators,2015,28(5):729-738.)
• [14]吴东金,夏林元.面向室内WLAN定位的动态自适应模型[J].测绘学报,2015,44(12):1322-1330.(WU Dongjin,XIA Linyuan.Dynamic adaptive model for indoor WLAN localization[J].Acta Geodaetica et Cartographica Sinica,2015,44(12):1322-1330.)
• [15]桑楠,袁兴中,周瑞.基于SVM分类和回归的Wi-Fi室内定位方法[J].计算机应用研究,2014,31(6):1820-1823.(SANG Nan,YUAN Xingzhong,ZHOU Rui.Method of Wi-Fi indoor location based on SVM[J].Application Research of Computers,2014,31(6):1820-1823.)
• [16]朱宇佳,邓中亮,刘文龙,等.基于支持向量机多分类的室内定位系统[J].计算机科学,2012,39(4):32-35.(ZHU Yujia,DENG Zhongliang,LIU Wenlong,et al.Multi-classification algorithm for indoor positioning based on support vector machine[J].Computer Science,2012,39(4):32-35.)
• [17]徐玉滨,邓志安,马琳.基于核直接判别分析和支持向量回归的WLAN室内定位算法[J].电子与信息学报,2011,33(4):896-901.(XU Yubin,DENG Zhian,MA Lin.WLAN indoor positioning algorithm based on KDDA and SVR[J].Journal of Electronics&Information Technology,2011,33(4):896-901.)
• [18]LI D,ZHANG B X,LI C.A feature scaling based Knearest neighbor algorithm for indoor positioning systems[J].IEEE Internet of Things Journal,2016,3(4):590-597.