| 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AoA/ToF联合定位算法。首先，基于载波相位和ToF信息构造载波相位定位模型，实现目标初始定位；然后，利用LAMBDA（Least-squares Ambiguity Decorrelated Adjustment）算法消除整周模糊，实现基于载波相位的AoA/ToF联合定位算法，得到目标精确位置；最后，推导了算法定位精度的标准差。通过实验分析了不同参数对定位性能的影响，结果显示，该算法定位精度优于AoA/ToF联合定位，当接收机在用户周围均匀分布时定位性能较好，且基本不受载波相位测量误差的影响，因此具有更好的鲁棒性。 |
| 关键词: 室内定位 AoA/ToF 载波相位信息 LAMBDA算法 |
| DOI： |
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| 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) |
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| Carrier phase based indoor AoA/ToF localization |
| YUE Ziying,HE Wei |
| (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. |
| Key words: indoor localization AoA/ToF carrier phase information LAMBDA algorithm |
