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Simple and improved approach of estimating MIMO capacity from antenna magnitude patterns

Tian, Ruiyuan LU and Lau, Buon Kiong LU (2009) European Conference on Antennas and Propagation (EUCAP), 2009 In 3rd European Conference on Antennas and Propagation, EuCAP 2009. p.1770-1774
Abstract
This paper proposes a simple and improved approach of estimating MIMO capacity from antenna magnitude patterns, i.e., the antenna patterns are phaseless. The simple approach synthesizes the phases according to the antenna spacing, and it compares favorably with an existing approach based on random phase synthesis. Moreover, the simple approach can be improved by taking into account the correlation between the magnitude patterns. The performance of the existing and proposed approaches in estimating MIMO capacity is investigated for dipole antenna systems with different gain and correlation characteristics, under different conditions of antenna spacings, impedance matching networks and propagation scenarios. It is found that an average... (More)
This paper proposes a simple and improved approach of estimating MIMO capacity from antenna magnitude patterns, i.e., the antenna patterns are phaseless. The simple approach synthesizes the phases according to the antenna spacing, and it compares favorably with an existing approach based on random phase synthesis. Moreover, the simple approach can be improved by taking into account the correlation between the magnitude patterns. The performance of the existing and proposed approaches in estimating MIMO capacity is investigated for dipole antenna systems with different gain and correlation characteristics, under different conditions of antenna spacings, impedance matching networks and propagation scenarios. It is found that an average capacity estimation error of under 0.5% is achieved for the proposed approach, as compared to up to 20.6% error for the random phase approach. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
3rd European Conference on Antennas and Propagation, EuCAP 2009.
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
European Conference on Antennas and Propagation (EUCAP), 2009
external identifiers
  • wos:000276522100412
  • scopus:70349860033
ISBN
978-1-4244-4753-4
language
English
LU publication?
yes
id
a8d531a2-e760-4584-b753-7911e5deb5cc (old id 1269060)
alternative location
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5067977
date added to LUP
2008-11-20 13:05:14
date last changed
2018-06-12 14:35:21
@inproceedings{a8d531a2-e760-4584-b753-7911e5deb5cc,
  abstract     = {This paper proposes a simple and improved approach of estimating MIMO capacity from antenna magnitude patterns, i.e., the antenna patterns are phaseless. The simple approach synthesizes the phases according to the antenna spacing, and it compares favorably with an existing approach based on random phase synthesis. Moreover, the simple approach can be improved by taking into account the correlation between the magnitude patterns. The performance of the existing and proposed approaches in estimating MIMO capacity is investigated for dipole antenna systems with different gain and correlation characteristics, under different conditions of antenna spacings, impedance matching networks and propagation scenarios. It is found that an average capacity estimation error of under 0.5% is achieved for the proposed approach, as compared to up to 20.6% error for the random phase approach.},
  author       = {Tian, Ruiyuan and Lau, Buon Kiong},
  booktitle    = {3rd European Conference on Antennas and Propagation, EuCAP 2009. },
  isbn         = {978-1-4244-4753-4 },
  language     = {eng},
  pages        = {1770--1774},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Simple and improved approach of estimating MIMO capacity from antenna magnitude patterns},
  year         = {2009},
}