Published August 2016 | Version v1
Journal article

Antenna calibration technique based on channel prediction in time-varying TDD-MIMO system

  • 1. Chengdu University of Information Technology, Chengdu 610225 (China)
  • 2. University of Electronic Science and Technology of China, Chengdu 610054 (China)
  • 3. Business School of Sichuan University, Chengdu 610065 (China)

Description

The traditional antenna calibration for time division duplex multiple input multiple output (TDD-MIMO) systems assume that free-space channel keeps constant during calibration, which is unreasonable under the high-speed rail and other time-varying channel scenarios for time variability can cause calibration error. This paper analyzes the performance of traditional antenna calibration methods, and then proposes an antenna calibration method based on Wiener channel prediction for time-varying TDD-MIMO system. Through theoretical derivation, we get the capacity formula of the TDD-MIMO system using traditional antenna calibration and antenna calibration based on channel prediction. The theoretical analysis and simulation results both indicate that the performance degradation of antenna calibration can be caused by time-varying channel and the prediction algorithm proposed in the paper can well compensate for the performance loss and significantly improve the antenna calibration performance for time-varying TDD-MIMO system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2015.11.016

Additional details

Identifiers

DOI
10.1016/j.chaos.2015.11.016;
PII
S0960-0779(15)00381-1;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
89
Journal Page Range
p. 255-262
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48001979
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGORITHMS; ANTENNAS; CALIBRATION; ERRORS; FORECASTING; NOISE; PERFORMANCE; SIMULATION
Descriptors DEC
ELECTRICAL EQUIPMENT; EQUIPMENT; MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.