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Iterative Equalization and Source Decoding for Vector Quantized Sources

Iterative Equalization and Source Decoding for Vector Quantized Sources
Iterative Equalization and Source Decoding for Vector Quantized Sources
In this contribution an iterative (turbo) channel equalization and source decoding scheme is considered. In our investigations the source is modelled as a Gaussian-Markov source, which is compressed with the aid of vector quantization. The communications channel is modelled as a time-invariant channel contaminated by intersymbol interference (ISI). Since the ISI channel can be viewed as a rate-1 encoder and since the redundancy of the source cannot be perfectly removed by source encoding, a joint channel equalization and source decoding scheme may be employed for enhancing the achievable performance. In our study the channel equalization and the source decoding are operated iteratively on a bit-by-bit basis under the maximum aposteriori (MAP) criterion. The channel equalizer accepts the a priori information provided by the source decoding and also extracts extrinsic information, which in turn acts as a priori information for improving the source decoding performance. Simulation results are presented for characterizing the achievable performance of the iterative channel equalization and source decoding scheme. Our results show that iterative channel equalization and source decoding is capable of achieving an improved performance by efficiently exploiting the residual redundancy of the vector quantization assisted source coding.
0-7803-9392-9
2349-2353
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Wang, J.
dc08532d-c8db-4f40-83ae-f5abf4acc068
Maunder, R. G.
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Wang, J.
dc08532d-c8db-4f40-83ae-f5abf4acc068
Maunder, R. G.
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Yang, L-L., Wang, J., Maunder, R. G. and Hanzo, L. (2006) Iterative Equalization and Source Decoding for Vector Quantized Sources At IEEE VTC'06 (Spring), Australia. 07 - 10 May 2006. , pp. 2349-2353.

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution an iterative (turbo) channel equalization and source decoding scheme is considered. In our investigations the source is modelled as a Gaussian-Markov source, which is compressed with the aid of vector quantization. The communications channel is modelled as a time-invariant channel contaminated by intersymbol interference (ISI). Since the ISI channel can be viewed as a rate-1 encoder and since the redundancy of the source cannot be perfectly removed by source encoding, a joint channel equalization and source decoding scheme may be employed for enhancing the achievable performance. In our study the channel equalization and the source decoding are operated iteratively on a bit-by-bit basis under the maximum aposteriori (MAP) criterion. The channel equalizer accepts the a priori information provided by the source decoding and also extracts extrinsic information, which in turn acts as a priori information for improving the source decoding performance. Simulation results are presented for characterizing the achievable performance of the iterative channel equalization and source decoding scheme. Our results show that iterative channel equalization and source decoding is capable of achieving an improved performance by efficiently exploiting the residual redundancy of the vector quantization assisted source coding.

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More information

Published date: 7 May 2006
Additional Information: Event Dates: 7-10 May 2006
Venue - Dates: IEEE VTC'06 (Spring), Australia, 2006-05-07 - 2006-05-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262633
URI: http://eprints.soton.ac.uk/id/eprint/262633
ISBN: 0-7803-9392-9
PURE UUID: b4628301-049e-4cae-a6f0-d2c129dd1922
ORCID for L-L. Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for R. G. Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 May 2006
Last modified: 18 Jul 2017 08:49

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Contributors

Author: L-L. Yang ORCID iD
Author: J. Wang
Author: R. G. Maunder ORCID iD
Author: L. Hanzo ORCID iD

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