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Joint decoding and estimation of spatio-temporally correlated binary sources

Joint decoding and estimation of spatio-temporally correlated binary sources
Joint decoding and estimation of spatio-temporally correlated binary sources
In the context of distributed joint source-channel
coding, we conceive a joint decoding and estimation scheme for
binary Markov sources exhibiting spatio-temporal correlation.
The proposed scheme is designed based on the serial concatenation of a trellis coded modulation (TCM) scheme and a unityrate code. The symbol-based maximum a posteriori algorithm employed for TCM decoding is modified in order to exploit the source correlation. The estimation of both the spatial and temporal correlation parameters is performed jointly with the iterative decoding, hence allowing the estimated parameters to be updated after each iteration. Our simulation results reveal that when both the spatial and temporal correlation parameters are unknown, the proposed joint decoding and estimation scheme approaches the performance to the ideal system relying on perfectly known correlation parameters, therefore demonstrating the superiority of the proposed scheme.
0018-9545
Izhar, Mohd Azri Mohd
028b9c06-e36d-47f2-a0a3-6de485270790
Aljohani, Abdullah Jeza
8c639988-5ee7-4ce7-b0b9-cb7118af96b2
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Izhar, Mohd Azri Mohd
028b9c06-e36d-47f2-a0a3-6de485270790
Aljohani, Abdullah Jeza
8c639988-5ee7-4ce7-b0b9-cb7118af96b2
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Izhar, Mohd Azri Mohd, Aljohani, Abdullah Jeza, Ng, Soon and Hanzo, Lajos (2018) Joint decoding and estimation of spatio-temporally correlated binary sources. IEEE Transactions on Vehicular Technology. (In Press)

Record type: Article

Abstract

In the context of distributed joint source-channel
coding, we conceive a joint decoding and estimation scheme for
binary Markov sources exhibiting spatio-temporal correlation.
The proposed scheme is designed based on the serial concatenation of a trellis coded modulation (TCM) scheme and a unityrate code. The symbol-based maximum a posteriori algorithm employed for TCM decoding is modified in order to exploit the source correlation. The estimation of both the spatial and temporal correlation parameters is performed jointly with the iterative decoding, hence allowing the estimated parameters to be updated after each iteration. Our simulation results reveal that when both the spatial and temporal correlation parameters are unknown, the proposed joint decoding and estimation scheme approaches the performance to the ideal system relying on perfectly known correlation parameters, therefore demonstrating the superiority of the proposed scheme.

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PDJ4_JDE_ST_Draft4 - Accepted Manuscript
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Accepted/In Press date: 9 February 2018

Identifiers

Local EPrints ID: 417902
URI: http://eprints.soton.ac.uk/id/eprint/417902
ISSN: 0018-9545
PURE UUID: 8e666651-a685-4b66-930b-f9ab8e0120a1
ORCID for Soon Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Feb 2018 17:30
Last modified: 07 Oct 2020 01:41

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Contributors

Author: Mohd Azri Mohd Izhar
Author: Abdullah Jeza Aljohani
Author: Soon Ng ORCID iD
Author: Lajos Hanzo ORCID iD

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