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基于载波相位的室内AoA/ToF联合定位
引用本文:岳紫颖,何 维.基于载波相位的室内AoA/ToF联合定位[J].电讯技术,2021,61(5):614-620.
作者姓名:岳紫颖  何 维
作者单位:重庆邮电大学 通信与信息工程学院,重庆 400065
基金项目:国家自然科学基金资助项目(E020B2017036);重庆市研究生科研创新项目(CYS19253)
摘    要:当前室内定位的主流方法是基于信道状态信息(Channel State Information,CSI)的AoA/ToF(Angle of Arrival/Time of Flight)联合定位,由于天线数量和带宽的限制,导致其特征参数存在误差.为此,结合CSI中细粒度和多样化的载波相位信息,提出了一种基于载波相位的室内...

关 键 词:室内定位  AoA/ToF  载波相位信息  LAMBDA算法

Carrier phase based indoor AoA/ToF localization
YUE Ziying,HE Wei.Carrier phase based indoor AoA/ToF localization[J].Telecommunication Engineering,2021,61(5):614-620.
Authors:YUE Ziying  HE Wei
Affiliation:School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
Abstract:Channel state information(CSI) based indoor angle of arrival/time of flight(AoA/ToF) localization has become a mainstream method.Howerver,due to the limitation of the number of antennas and bandwidth,there are errors in its characteristic parameters.Therefore,a carrier phase based indoor AoA/ToF localization algorithm using finer-grained and more diverse carrier phase information of CSI is proposed.Firstly,a carrier phase localization model is constructed according to the carrier phase and ToF information to get the initial target location.Then,by combining the least-squares ambiguity decorrelated adjustment(LAMBDA) algorithm,the integer ambiguity of carrier phase localization model is eliminated.And the carrier phase-based indoor AoA/ToF localization algorithm is constructed to get the precise location of target.Finally,the standard deviation of localization accuracy of the proposed algorithm is deduced.The impact of different experimental parameters on the localization performance is analyzed through experiments.The results show that the localization accuracy of the proposed algorithm is superior than that of AoA/ToF localization.The localization performance is better when the receivers are evenly distributed around the user.And the algorithm is basically not affected by the carrier phase measurement error,so it has better robustness.
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