计算机工程与科学2017，Vol.39Issue(7)：1288-1294,7.DOI:10.3969/j.issn.1007-130X.2017.07.013
情境自适应的RSSI分段异构拟合定位方法
A context-adaptive segmentation heterogeneous RSSI fitting positioning method
摘要
Abstract
Indoor positioning plays an important role in many applications,such as public safety,healthcare,location-based services and so on.How to improve positioning accuracy and the model adaptivity to the environment becomes a key issue of indoor positioning,where most existing techniques generally use the value of the received signal strength indication (RSSI) to obtain the distance.Given the fact that the traditional logarithmic distance path loss model cannot adapt to the complex indoor environment very well,we propose a context-adaptive segmentation heterogeneous RSSI fitting positioning method.The proposed method firstly utilizes the difference in signal transmission under different application scenarios to divide the RSSI data into several different segments.Then it finds the optimal piecewise fitting point by RSSIs differentiated characteristics,and selects the optimum function for each segment,enabling the number of segments,segment position,and piecewise functions of all segments to adapt to corresponding application scenarios.Finally high accurate RSSI signal fitting is achieved.Experimental results show that the proposed method in RSSI fitting can achieve higher accuracy than the traditional single-fitting function,and improve the accuracy of position algorithms significantly.关键词
接收信号强度指示/室内定位/分段曲线拟合/异构拟合/自适应性Key words
RSSI/indoor position/piecewise curve fitting/heterogeneous fitting/adaptivity分类
信息技术与安全科学引用本文复制引用
陈泳希,刘任任,陈益强,王双全,蒋鑫龙..情境自适应的RSSI分段异构拟合定位方法[J].计算机工程与科学,2017,39(7):1288-1294,7.基金项目
国家自然科学基金(61173066,61572471,61472399) （61173066,61572471,61472399）
广东省科技计划项目(2015B010105001) （2015B010105001）
中科院计算所所创新课题(20156010) （20156010）
