A Principal-Component Approach to Antenna Impedance Estimation at MISO Receivers

被引：1
|
作者：
Wu, Shaohan [1 ]
Hughes, Brian L. [2 ]
机构：
[1] MediaTek USA Inc, Dept Commun Syst Design, Irvine, CA 92618 USA
[2] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA
来源：
IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 01期
基金：
美国国家科学基金会;
关键词：
Impedance; Maximum likelihood estimation; Receiving antennas; Training; MISO communication; Antennas; Transmitting antennas; Antenna impedance estimation; maximum-likelihood estimator; eigen-decomposition; MIMO; DESIGN;
D O I：
10.1109/LCOMM.2022.3215305
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Impedance matching between receive antenna and front-end significantly impacts channel capacity in wireless channels. To implement the optimal matching, the receiver must know the antenna impedance. This impedance varies with the antenna's loading conditions. Techniques are derived to estimate antenna impedance, but the optimality of these techniques remains unclear. In this letter, we study antenna impedance estimation at MISO receivers over Rayleigh fading channels and derive the optimal ML estimator in closed-form. Numerical results suggest a computationally efficient, principal-components approach that estimates antenna impedance in real-time and shows sizable improvement against a reference estimator at low SNR.
引用
收藏
页码：288 / 292
页数：5
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