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

页码：288 / 292

页数：5

共 50 条

[1] A principal-component approach to measuring investor sentiment
Chen, Haiqiang
Chong, Terence Tai-Leung
Duan, Xin
QUANTITATIVE FINANCE, 2010, 10 (04) : 339 - 347
[2] Schrodinger principal-component analysis: On the duality between principal-component analysis and the Schrodinger equation
Liu, Ziming
Qian, Sitian
Wang, Yixuan
Yan, Yuxuan
Yang, Tianyi
PHYSICAL REVIEW E, 2021, 104 (02)
[3] Parametrization of dark-energy properties: A principal-component approach
Huterer, D
Starkman, G
PHYSICAL REVIEW LETTERS, 2003, 90 (03) : 1 - 031301
[4] Impedance Variation Detection at MISO Receivers
Wu, Shaohan
IEEE COMMUNICATIONS LETTERS, 2022, 26 (12) : 3039 - 3043
[5] Principal-component analysis of particle motion
Chen, H. Y.
Liegeois, Raphael
de Bruyn, John R.
Soddu, Andrea
PHYSICAL REVIEW E, 2015, 91 (04):
[6] PRINCIPAL-COMPONENT ANALYSIS APPLIED TO CHROMATOGRAPHIC DATA
MACNAUGH.D
ROGERS, LB
WERNIMON.G
ANALYTICAL CHEMISTRY, 1972, 44 (08) : 1421 - &
[7] PRINCIPAL-COMPONENT LOCALIZATION OF THE SOURCES OF THE BACKGROUND EEG
SOONG, ACK
KOLES, ZJ
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1995, 42 (01) : 59 - 67
[8] Principal-component characterization of noise for infrared images
López-Alonso, JM
Alda, J
Bernabéu, E
APPLIED OPTICS, 2002, 41 (02) : 320 - 331
[9] Association tests based on the principal-component analysis
Sohee Oh
Taesung Park
BMC Proceedings, 1 (Suppl 1)
[10] PRINCIPAL-COMPONENT AMPLITUDE COMPRESSION FOR THE HEARING-IMPAIRED
BUSTAMANTE, DK
BRAIDA, LD
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1987, 82 (04): : 1227 - 1242

← 1 2 3 4 5 →