Comparison of Analytic Inversion Techniques for Equalisation of Highly Frequency-Selective MIMO Systems
Comparison of Analytic Inversion Techniques for Equalisation of Highly Frequency-Selective MIMO Systems
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.
MIMO, frequency-selective, deconvolution, inversion
150-155
Bale, Viktor
ce8ae3b3-52c3-4947-b746-241b786b9290
Weiss, Stephan
a89960cd-f869-4728-8f8e-c0b60f04f911
2004
Bale, Viktor
ce8ae3b3-52c3-4947-b746-241b786b9290
Weiss, Stephan
a89960cd-f869-4728-8f8e-c0b60f04f911
Bale, Viktor and Weiss, Stephan
(2004)
Comparison of Analytic Inversion Techniques for Equalisation of Highly Frequency-Selective MIMO Systems.
Signal Processing for Wireless Communications 2004, Kings College, London.
02 - 04 Jun 2004.
.
Record type:
Conference or Workshop Item
(Poster)
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.
More information
Published date: 2004
Additional Information:
Event Dates: 2nd - 4th June 2004
Venue - Dates:
Signal Processing for Wireless Communications 2004, Kings College, London, 2004-06-02 - 2004-06-04
Keywords:
MIMO, frequency-selective, deconvolution, inversion
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 259369
URI: http://eprints.soton.ac.uk/id/eprint/259369
PURE UUID: 2ce948fb-0f28-4ff1-ba9b-f03f32e24abf
Catalogue record
Date deposited: 03 Jun 2004
Last modified: 14 Mar 2024 06:23
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Contributors
Author:
Viktor Bale
Author:
Stephan Weiss
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