Simplified soft-decision demapping algorithm for digital video broadcasting system

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Simplified soft-decision demapping algorithm for digital video broadcasting system

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A simplified soft-decision demapping algorithm for digital video broadcasting via satellite, second generation (DVB-S2), is presented. The proposed algorithm can reduce the computational complexity required to compute the log likelihood ratio values between the received noisy symbol and possible constellation points compared to conventional algorithms. The simulation results show that the proposed algorithm has negligible performance degradation compared with conventional algorithms. Compared with the maximum algorithm, the proposed algorithm can reduce the hardware resources required by about 81%.

Inspec keywords: direct broadcasting by satellite; digital video broadcasting

Other keywords: constellation point; satellite; simplified soft-decision demapping algorithm; digital video broadcasting system; hardware resources; computational complexity; received noisy symbol; DVB-S2; log likelihood ratio value

Subjects: Radio and television broadcasting; Satellite communication systems

References

    1. 1)
      • Digital video broadcasting (DVB); User guidelines for the second generation system for broadcasting, interactive services, news gathering and other broad-band satellite applications (DVB-S2), European Telecommunications Standards Institute (ETSI), TR 102 376, 2005.
    2. 2)
      • Lee, I., Chang, D., Oh, D.: `Multi-level modulation LDPC decoding algorithm for new generation DVB-S2 system', Proc. 24th AIAA Int. Communications Satellite Systems Conf., June 2006, San Diego, CA, USA.
    3. 3)
      • Choi, S.H., Oh, C.I., Oh, D., Chang, D.: `The mapping and demapping algorithms for high order modulation of DVB-S2 systems', Proc. Asia-Pacific Conf. on Communications, August 2006, Mumbai, India.
    4. 4)
      • Allpress, S., Luschi, C., Felix, S.: `Exact and approximated expressions of the log-likelihood ratio for 16-Qam signals', Proc. 38th Asilomar Conf. on Signals, Systems and Computers, November 2004, CA, USA, 1, p. 794–798.
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