RSS 1.0 Feed
RSS 2.0 Feed
Atom Feed
 

Comparison of Analytic Inversion Techniques for Equalisation of Highly Frequency-Selective MIMO Systems

Bale, V. and Weiss, S. (2004) Comparison of Analytic Inversion Techniques for Equalisation of Highly Frequency-Selective MIMO Systems. In: Signal Processing for Wireless Communications 2004, 2nd - 4th June 2004, Kings College, London. pp. 150-155.

Download

[img]
Preview
PDF
95Kb
[img]
Preview
Postscript
235Kb

Abstract

This paper discusses MIMO equalisers created by analytic inversion of a known frequency-selective MIMO channel. It considers inversion performed in the $z$-domain, time-domain using convolutional matrices, and the frequency-domain. It explains the criteria of these inversions and compares the performances in terms of MSE between the input and output to a concatenated channel-equaliser system through use of simulations, and puts these results into context in terms of computational cost.

Creators:Viktor Bale, Stephan Weiss
Item Type:Conference or Workshop Item
Keywords:MIMO, frequency-selective, deconvolution, inversion
Research Group:Communications Research Group
Deposited On:03 Jun 2004 by Bale, Viktor
ID Code:9369
Last Modified:18 Feb 2010 15:09
Performance Indicator:EZ~02~02~04
Citations:Google Scholar: 2

Tools

Metadata

Download Statistics

Last month

Last year

Members of ECS may view the download statistics dashboard for this record.

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

[1] G. J. Foschini and M. J. Gans, “On limits of wireless communications

in a fading environment when using multiple antennas,”

Wireless Personal Communcations, , no. 6, pp. 315–335,

1998.

[2] V. Bale, Mini-thesis: Multiple-Input Multiple-Out-put Systems:

Fullband and Subband Adaptive Techniques, University

of Southampton, UK, 2004.

[3] P. P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice

Hall, Englewood Cliffs, 1993.

[4] A. Ahl´en and M. Sternad, “Wiener Filter Design Using Polynomial

Equations,” IEEE Transactions on Signal Processing,

vol. 39, no. 11, pp. 2387–2399, November 1991.

[5] O. Kirkeby, P. A. Nelson, F. Orduna-Bustamante, and

H. Hamada, “Local sound field reproduction using digital signal

processing,” Journal of the Acoustical Society of America,

vol. Vol.100, no. No.3, pp. 1584–1593, March 1996.

[6] V. Bale and S. Weiss, “An Optimum Linear Frequency-

Selective MIMO Equaliser using Time-Domain Analytic Inversion,”

in PREP Postgraduate Research Conference, University

of Hertfordshire, UK, April 2004, vol. Oral Presentations,

pp. 24–25.

[7] S. Haykin, Adaptive Filter Theory, Prentice Hall, Englewood

Cliffs, 3rd edition, 1996.

[8] J. J. Shynk, “Frequency-Domain and Multirate Adaptive Filtering,”

IEEE Signal Processing Magazine, vol. 9, no. 1, pp.

14–37, January 1992.

[9] O. Kirkeby, P. A. Nelson, H. Hamada, and F. Orduna-

Bustamante, “Fast Deconvolution of Multichannel Systems

Using Regularization,” IEEE Transactions on Speech and Audio

Processing, vol. 6, no. 2, pp. 189–194, March 1998.

[10] “Signal Processing Information Base: Micro-wave Channel

Data,” Rice University, http://spib.rice.edu.

Corrections

ECS staff and postgraduates may modify this record

  Welcome from Deputy Head of School (Research) Research Prospectus Industrial Partnerships New Research Students Notes for Guidance New Research Students Notes for Guidance
The ECS EPrints Repository supports OAI 2.0 with a base URL of http://eprints.ecs.soton.ac.uk/cgi/oai2

EPrints is free software developed by the University of Southampton to facilitate Open Access to research.
EPrints