UKF-Based Channel Tracking Method for IRS-Aided mmWave MISO Systems

被引：0
|
作者：
Xie, Taoyu [1 ]
Tao, Qin [2 ]
Gan, Xu [1 ]
Zhong, Caijun [1 ]
机构：
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[2] Hangzhou Normal Univ, Sch Informat Sci & Technol, Hangzhou 311121, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 06期
关键词：
Millimeter wave communication; intelligent reflecting surface; channel tracking; unscented Kalman filter; beamforming design;
D O I：
10.1109/LCOMM.2023.3269201
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, we propose an unscented Kalman filtering (UKF)-based method to track the channel parameters of the intelligent reflecting surface (IRS) aided millimeter wave (mmWave) multi-input single-output (MISO) systems. To minimize the mean squared error (MSE) of the tracking parameters, the beamforming vector of the base station (BS) and the reflecting vector of the IRS are designed iteratively, considering the transmit power constraint of the BS and the unit module constraint of the IRS. The resulting sub-problems can be transformed into quadratic constraint quadratic problems (QCQPs), which are solved by the semidefinite relaxation (SDR) method and Gaussian randomization. Simulation results demonstrate that the proposed method outperforms existing benchmark methods.
引用
收藏
页码：1599 / 1603
页数：5
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