计算机科学 ›› 2022, Vol. 49 ›› Issue (11): 259-265.doi: 10.11896/jsjkx.220500098
王冬子1, 郭政鑫1, 桂林卿1,2, 黄海平1,2, 肖甫1,2
WANG Dong-zi1, GUO Zheng-xin1, GUI Lin-qing1,2, HUANG Hai-ping1,2, XIAO Fu1,2
摘要： 被动式室内人员定位是实现普适无线感知系统的基础。然而在实际生活中,商用WiFi信号易受到周围环境的影响,导致现有基于WiFi的被动式室内定位工作难以从复杂的接收信号中准确分离出目标人员动态分量。针对上述问题,提出了一种精确的被动式室内人员定位系统WiPasLoc,其通过利用商用WiFi设备中提取到的信道状态信息(Channel State Information,CSI),实现了高精度的室内定位。首先,结合CSI子载波的信号质量完成动态多普勒频移(Doppler Frequency Shift,DFS) 估计;然后,通过基于双窗口的信号到达角(Angle of Arrive,AoA)的估计方法,从信道状态信息中精准分离出目标人员的信号分量;最后,结合人员的初始位置信息提出轨迹拟合算法,实现了精确的被动式室内人员定位。实验结果表明:WiPasLoc对室内人员运动轨迹定位的中值误差为80cm,相比现有典型的Widar2.0定位精度提升了25.9%。
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