A Tensor-Based Joint AoA and ToF Estimation Method for Wi-Fi Systems

被引：12
|
作者：
Zhao, Bobai [1 ]
Hu, Keke [2 ,3 ]
Gong, Yubing [2 ,3 ]
Shen, Yuan [2 ,3 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Sch Informat Management, Beijing 100192, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Estimation; Tensors; Wireless fidelity; Location awareness; Antenna measurements; Wireless communication; Linear antenna arrays; Multipath propagation; angle-of-arrival; time-of-flight; tensor decomposition;
D O I：
10.1109/LWC.2021.3106699
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This letter presents a tensor-based joint AoA and ToF estimation method using the channel state information for Wi-Fi systems. Our method can mitigate the estimation error caused by the signal phase offset and noise interference using linear regression and discrete wavelet transform, respectively. Moreover, the Cramer-Rao lower bound for joint AoA and ToF estimation is derived for performance evaluation. Finally, Wi-Fi measurements are taken in indoor scenarios, and the numerical results show that the proposed method can reduce the estimation errors by more than 20% in comparison with existing algorithms.
引用
收藏
页码：2543 / 2546
页数：4
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