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Equivalent circuit based calculation of signal correlation in lossy MIMO antennas

In English

Författare

Summary, in English

Correlation coefficient of received signals across a pair of antennas is a key performance indicator for multiple-input multiple-output (MIMO) systems. For multipath environments with uniform 3D angular power spectrum, the signal correlation between two antennas can be exactly calculated from their 3D radiation patterns. When radiation patterns are unavailable, a simplified approach that only requires the antennas’ scattering parameters can be used instead. However, the simpler method assumes lossless antennas and thus only works well for antennas with high radiation efficiencies. To take into account the antenna loss, the idea of equivalent circuit approximation is used in this paper to analytically separate the lossy components (resistance or conductance) from the lossy antenna arrays, using known scattering parameters and radiation efficiencies. The simplified method using S parameters can then be applied to obtain the correlation coefficient of the equivalent lossless antennas. The effectiveness of the method has been verified on antennas operating at a single mode, such as dipole or patch at its lowest resonant frequency. Good results were also obtained for the measured case of a dual-antenna mobile terminal, consisting of a monopole and a PIFA.

Publiceringsår

2013

Språk

Engelska

Sidor

5214-5222

Publikation/Tidskrift/Serie

IEEE Transactions on Antennas and Propagation

Volym

61

Issue

10

Dokumenttyp

Artikel i tidskrift

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Status

Published

Projekt

  • EIT_ANTCHN Antenna-Channel Harmonization for Throughput Enhancement in Advanced Mobile Terminals
  • EIT_Optantsys Novel Antenna System Design Paradigm for High Performance Mobile Communications

Forskningsgrupp

  • Electromagnetic theory
  • Radio Systems

ISBN/ISSN/Övrigt

  • ISSN: 0018-926X