The University of Southampton
University of Southampton Institutional Repository

Soft-Bit Assisted Iterative AMR-WB Source-Decoding and Turbo-Detection of Channel-Coded Differential Space-Time Spreading Using Sphere Packing Modulation

Soft-Bit Assisted Iterative AMR-WB Source-Decoding and Turbo-Detection of Channel-Coded Differential Space-Time Spreading Using Sphere Packing Modulation
Soft-Bit Assisted Iterative AMR-WB Source-Decoding and Turbo-Detection of Channel-Coded Differential Space-Time Spreading Using Sphere Packing Modulation
Jointly optimised iterative source- and channel-decoding is used for enhancing the error resilience of the Adaptive Multi Rate WideBand (AMR-WB) speech codec. The resultant AMR-WB coded speech signal is protected by Recursive Systematic Convolutional (RSC) codes and transmitted using a Sphere Packing (SP) aided Differential Space-Time Spreading (DSTS) assisted transceiver. The performance of the proposed scheme is evaluated when communicating over correlated non-dispersive Rayleigh fading channels. The proposed system exhibits an Eb/N0 gain of about 1 dB in comparison to the benchmark scheme carrying out joint channel decoding and DSTS aided SP-demodulation, but separate AMR-WB decoding, when using I = 4 external iterations.
2010-2014
Othman, N.S.
3a829028-a427-4123-b885-2bab81a44b6f
El-Hajjar, M.
8347b140-5fcd-43fe-897d-457c794a43f8
Alamri, O.
d592ec54-c3ab-4bf6-b92e-8c30cf0ddf12
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Othman, N.S.
3a829028-a427-4123-b885-2bab81a44b6f
El-Hajjar, M.
8347b140-5fcd-43fe-897d-457c794a43f8
Alamri, O.
d592ec54-c3ab-4bf6-b92e-8c30cf0ddf12
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Othman, N.S., El-Hajjar, M., Alamri, O. and Hanzo, L. (2007) Soft-Bit Assisted Iterative AMR-WB Source-Decoding and Turbo-Detection of Channel-Coded Differential Space-Time Spreading Using Sphere Packing Modulation. IEEE VTC'07 (Spring), Dublin, Ireland. 22 - 25 Apr 2007. pp. 2010-2014 .

Record type: Conference or Workshop Item (Paper)

Abstract

Jointly optimised iterative source- and channel-decoding is used for enhancing the error resilience of the Adaptive Multi Rate WideBand (AMR-WB) speech codec. The resultant AMR-WB coded speech signal is protected by Recursive Systematic Convolutional (RSC) codes and transmitted using a Sphere Packing (SP) aided Differential Space-Time Spreading (DSTS) assisted transceiver. The performance of the proposed scheme is evaluated when communicating over correlated non-dispersive Rayleigh fading channels. The proposed system exhibits an Eb/N0 gain of about 1 dB in comparison to the benchmark scheme carrying out joint channel decoding and DSTS aided SP-demodulation, but separate AMR-WB decoding, when using I = 4 external iterations.

Text
23.pdf - Other
Download (206kB)

More information

Published date: April 2007
Additional Information: Event Dates: 22-25 April 2007
Venue - Dates: IEEE VTC'07 (Spring), Dublin, Ireland, 2007-04-22 - 2007-04-25
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263935
URI: http://eprints.soton.ac.uk/id/eprint/263935
PURE UUID: f58a13a2-d0ec-40ce-8162-6543d4c83c4f
ORCID for N.S. Othman: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 Apr 2007
Last modified: 18 Mar 2024 03:21

Export record

Contributors

Author: N.S. Othman ORCID iD
Author: M. El-Hajjar
Author: O. Alamri
Author: L. Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×