Iterative AMR-WB source and channel decoding using differential space-time spreading-assisted sphere-packing modulation

Noor Shamsiah Othman, Mohammed El-Hajjar, Osamah Alamri, Soon Xin Ng, Lajos Hanzo

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, we present a novel system that invokes jointly optimized iterative source and channel decoding for enhancing the error resilience of the adaptive multirate wideband (AMR-WB) speech codec. The resultant AMR-WB-coded speech signal is protected by a recursive systematic convolutional (RSC) code and transmitted using a noncoherently detected multiple-input-multiple-output (MIMO) differential space-time spreading (DSTS) scheme. To further enhance the attainable system performance and to maximize the coding advantage of the proposed transmission scheme, the system is also combined with multidimensional sphere-packing (SP) modulation. Furthermore, the convergence behavior of the proposed scheme is evaluated with the aid of extrinsic information transfer (EXIT) charts. The proposed system exhibits an Eb/N0 gain of about 1 dB, as compared with the benchmark scheme carrying out joint channel decoding and DSTS-aided SP demodulation in conjunction with separate AMR-WB decoding, when using only Isystem = 2 system iterations and when communicating over narrow-band correlated Rayleigh fading channels.

Original languageEnglish
Pages (from-to)484-490
Number of pages7
JournalIEEE Transactions on Vehicular Technology
Volume58
Issue number1
DOIs
Publication statusPublished - 12 Feb 2009

Fingerprint

Sphere packing
Decoding
Modulation
Space-time
Convolutional codes
Error Resilience
Rayleigh fading
Demodulation
Fading channels
Convolutional Codes
Information Transfer
Rayleigh Fading Channel
Speech Signal
Chart
Multiple-input multiple-output (MIMO)
System Performance
Coding
Maximise
Benchmark
Iteration

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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abstract = "In this paper, we present a novel system that invokes jointly optimized iterative source and channel decoding for enhancing the error resilience of the adaptive multirate wideband (AMR-WB) speech codec. The resultant AMR-WB-coded speech signal is protected by a recursive systematic convolutional (RSC) code and transmitted using a noncoherently detected multiple-input-multiple-output (MIMO) differential space-time spreading (DSTS) scheme. To further enhance the attainable system performance and to maximize the coding advantage of the proposed transmission scheme, the system is also combined with multidimensional sphere-packing (SP) modulation. Furthermore, the convergence behavior of the proposed scheme is evaluated with the aid of extrinsic information transfer (EXIT) charts. The proposed system exhibits an Eb/N0 gain of about 1 dB, as compared with the benchmark scheme carrying out joint channel decoding and DSTS-aided SP demodulation in conjunction with separate AMR-WB decoding, when using only Isystem = 2 system iterations and when communicating over narrow-band correlated Rayleigh fading channels.",
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Iterative AMR-WB source and channel decoding using differential space-time spreading-assisted sphere-packing modulation. / Othman, Noor Shamsiah; El-Hajjar, Mohammed; Alamri, Osamah; Ng, Soon Xin; Hanzo, Lajos.

In: IEEE Transactions on Vehicular Technology, Vol. 58, No. 1, 12.02.2009, p. 484-490.

Research output: Contribution to journalArticle

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