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基于WiFi/PDR的室内定位初始位置融合解算方法研究
引用本文:李明峰,王珅,檀丁.基于WiFi/PDR的室内定位初始位置融合解算方法研究[J].大地测量与地球动力学,2019,39(6):602-606.
作者姓名:李明峰  王珅  檀丁
作者单位:南京工业大学测绘科学与技术学院,南京市浦珠南路30号,211816;武汉大学测绘学院,武汉市珞喻路129号,430079
基金项目:江苏省重点研发计划;南京市科技计划
摘    要:提出基于WiFi/PDR的初始位置融合解算方法。以检测到步数后0.2 s内WiFi定位坐标为集合,将PDR中估算的相邻两步距离和航向角作为参照,通过距离阈值和角度阈值筛选相邻两步WiFi定位坐标,以距离和角度综合偏离度选择最优定位坐标。结果表明,该方法解算的初始位置精度为1.2~1.8 m,比WiFi指纹定位误差缩小50%。

关 键 词:室内定位  WiFi指纹定位  行人航位推算  融合定位

Research on the Fusion Method of the Initial Position of Indoor Location Based on WiFi/PDR
LI Mingfeng,WANG Shen,TAN Ding.Research on the Fusion Method of the Initial Position of Indoor Location Based on WiFi/PDR[J].Journal of Geodesy and Geodynamics,2019,39(6):602-606.
Authors:LI Mingfeng  WANG Shen  TAN Ding
Abstract:This paper proposes a fusion method of initial position based on WiFi/PDR. In this method, the WiFi positioning results within 0.2 s after the steps are detected are set, the adjacent two-step distances and heading angles estimated in the PDR are taken as reference, the adjacent two-step WiFi positioning results are screened by the distance and angle thresholds, and the optimal positioning results are chosen according to the degree of deviation from the angle. Experimental results show that the initial position accuracy of this method is 1.2-1.8 m, which is 50% smaller than WiFi fingerprint positioning error.
Keywords:indoor location  WiFi fingerprint location  pedestrian dead reckoning  fusion location  
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