Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition
We investigate iterative trellis decoding techniques for DAB, with the objective of gaining from processing 2D-blocks in an OFDM scheme, that is, blocks based on the time and frequency dimension, and from trellis decomposition. Trellis-decomposition methods allow us to estimate the unknown channel p...
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Online Access: | http://dx.doi.org/10.1155/2012/394809 |
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doaj-5b11f92ffcd346f781ebb86092c31c4c2021-07-02T02:53:38ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/394809394809Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-DecompositionWim J. van Houtum0Frans M. J. Willems1Catena Radio Design, Science Park Eindhoven, Ekkersrijt 5228, 5692 EG Son en Breugel, The NetherlandsDepartment of Electrical Engineering, Technische Universiteit Eindhoven, Den Dolech 2, Postbus 513, 5600 MB Eindhoven, The NetherlandsWe investigate iterative trellis decoding techniques for DAB, with the objective of gaining from processing 2D-blocks in an OFDM scheme, that is, blocks based on the time and frequency dimension, and from trellis decomposition. Trellis-decomposition methods allow us to estimate the unknown channel phase since this phase relates to the sub-trellises. We will determine a-posteriori sub-trellis probabilities, and use these probabilities for weighting the a-posteriori symbol probabilities resulting from all the sub-trellises. Alternatively we can determine a dominant sub-trellis and use the a-posteriori symbol probabilities corresponding to this dominant sub-trellis. This dominant sub-trellis approach results in a significant complexity reduction. We will investigate both iterative and non-iterative methods. The advantage of non-iterative methods is that their forwardbackward procedures are extremely simple; however, also their gain of 0.7 dB, relative to two-symbol differential detection (2SDD) at a BER of 10-4, is modest. Iterative procedures lead to the significantly larger gain of 3.7 dB at a BER of 10-4 for five iterations, where a part of this gain comes from 2D processing. Simulations of our iterative approach applied to the TU-6 (COST207) channel show that we get an improvement of 2.4 dB at a Doppler frequency of 10 Hz.http://dx.doi.org/10.1155/2012/394809 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wim J. van Houtum Frans M. J. Willems |
spellingShingle |
Wim J. van Houtum Frans M. J. Willems Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition Journal of Electrical and Computer Engineering |
author_facet |
Wim J. van Houtum Frans M. J. Willems |
author_sort |
Wim J. van Houtum |
title |
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition |
title_short |
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition |
title_full |
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition |
title_fullStr |
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition |
title_full_unstemmed |
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition |
title_sort |
two-dimensional iterative processing for dab receivers based on trellis-decomposition |
publisher |
Hindawi Limited |
series |
Journal of Electrical and Computer Engineering |
issn |
2090-0147 2090-0155 |
publishDate |
2012-01-01 |
description |
We investigate iterative trellis decoding techniques for DAB, with the objective of gaining from processing 2D-blocks in an OFDM scheme, that is, blocks based on the time and frequency dimension, and from trellis decomposition. Trellis-decomposition methods allow us to estimate the unknown channel phase since this phase relates to the sub-trellises. We will determine a-posteriori sub-trellis probabilities, and use these probabilities for weighting the a-posteriori symbol probabilities resulting from all the sub-trellises. Alternatively we can determine a dominant sub-trellis and use the a-posteriori symbol probabilities corresponding to this dominant sub-trellis. This dominant sub-trellis approach results in a significant complexity reduction. We will investigate both iterative and non-iterative methods.
The advantage of non-iterative methods is that their forwardbackward
procedures are extremely simple; however, also their
gain of 0.7 dB, relative to two-symbol differential detection
(2SDD) at a BER of 10-4, is modest. Iterative procedures lead
to the significantly larger gain of 3.7 dB at a BER of 10-4
for five iterations, where a part of this gain comes from 2D processing.
Simulations of our iterative approach applied to the
TU-6 (COST207) channel show that we get an improvement of
2.4 dB at a Doppler frequency of 10 Hz. |
url |
http://dx.doi.org/10.1155/2012/394809 |
work_keys_str_mv |
AT wimjvanhoutum twodimensionaliterativeprocessingfordabreceiversbasedontrellisdecomposition AT fransmjwillems twodimensionaliterativeprocessingfordabreceiversbasedontrellisdecomposition |
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