Analysis of Turbo codes for Next Generation DVB-RCS system

Park, Taedoo; Kim, Minhyuk; Kim, Chulseong; Jung, Ji-Won

doi:10.2514/6.2010-8790

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…The DVB-RCS standard uses a parallel concatenation of two Circular Recursive Systematic Convolutional (CRSC) codes as the encoder [13][14][15] separated by an interleaver which uses a two-level interleaving. Let Nc be the size of each couple at the input of the duo-binary Turbo encoder.…”

Section: Duo-binary Turbo Codesmentioning

confidence: 99%

“…Recently, in [14], the performance of transmission systems with Duo-binary Turbo Codes (DBTC) and 16-QAM square modulation in Additive White Gaussian Noise (AWGN) channel have been investigated for various allocation modes. The author of [15], has investigated the input quantization of low complexity decoding algorithms and proposed an algorithm for an effective decoder quantization with the introduction of a scale factor into the decoding algorithm so as to achieve significant improvement in the hardware implementation of the decoder architecture. In [16], a duo-binary turbo code incorporating the Quadratic Permutation Polynomial (QPP) interleaver rather than the one defined in the DVB-RCS standard has been proposed.…”

Section: Introductionmentioning

confidence: 99%

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Symbol Level Decoding for Duo-Binary Turbo Codes

Beeharry¹,

Fowdur²,

Soyjaudah³

2017

IIUMEJ

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This paper investigates the performance of three different symbol level decoding algorithms for Duo-Binary Turbo codes. Explicit details of the computations involved in the three decoding techniques, and a computational complexity analysis are given. Simulation results with different couple lengths, code-rates, and QPSK modulation reveal that the symbol level decoding with bit-level information outperforms the symbol level decoding by 0.1 dB on average in the error floor region. Moreover, a complexity analysis reveals that symbol level decoding with bit-level information reduces the decoding complexity by 19.6 % in terms of the total number of computations required for each half-iteration as compared to symbol level decoding.

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Section: Duo-binary Turbo Codesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Symbol Level Decoding for Duo-Binary Turbo Codes

Beeharry¹,

Fowdur²,

Soyjaudah³

2017

IIUMEJ

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show abstract

“…Maximum A-Posteriori Probability (MAP), Logarithmic MAP (Log-MAP) and the Maximum Log-MAP (Max Log-MAP) algorithms are the conventional decoding algorithms for Turbo codes. Due to the extensive numerical instability and computational complexity of the MAP algorithm, the Log-MAP algorithm [11] has been proposed by researchers. In order to further reduce computational complexity, the Max Log-MAP algorithm was brought forward.…”

Section: Introductionmentioning

confidence: 99%

Performance of Extrinsic Information Scaling Mechanisms with Duo-Binary Turbo Codes

Beeharry¹,

Pawan²,

S.³

2017

JESTR

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Non-binary Turbo codes have gained significant research interest following the adoption of duo-binary Turbo codes in the Digital Video Broadcasting with Return Channel via Satellite (DVB-RCS) standard. In order to meet the Quality of Service (QoS) requirements of applications in communication systems, error control codes with enhanced error performance and low decoding complexity are highly desired. In this paper, the performance analysis of duo-binary Turbo codes using Sign Difference Ratio (SDR) and Regression analysis based extrinsic information scaling mechanisms has been performed. Different techniques for computing the scaling coefficients using the symbol and bit level Log-Likelihood Ratios (LLRs) have been presented and analyzed. Results show that the best gain in error performance is obtained using the mean of scaling coefficients computed from bit-level LLRs with both SDR and Regression based algorithms. The schemes give an average gain of 0.1 dB as compared to the conventional scheme.

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Analysis of Turbo codes for Next Generation DVB-RCS system

Cited by 2 publications

References 4 publications

Symbol Level Decoding for Duo-Binary Turbo Codes

Symbol Level Decoding for Duo-Binary Turbo Codes

Performance of Extrinsic Information Scaling Mechanisms with Duo-Binary Turbo Codes

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