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Soft-Decision COVQ Based on Turbo Codes Guang-Chong Zhu and Fady Alajaji
 

Summary: Soft-Decision COVQ Based on Turbo Codes
Guang-Chong Zhu and Fady Alajaji
Queen's University, Kingston, Ontario, Canada, K7L 3N6
Tel: (613) 533-2423, Fax: (613) 533-2964
E-mail: fady@shannon.mast.queensu.ca
Abstract: A robust soft-decision channel opti-
mized vector quantization (COVQ) scheme for Turbo-
coded AWGN channels is proposed. The log-likelihood
ratio (LLR) generated by the Turbo decoder is ex-
ploited in the COVQ design via the use of a q-bit
scalar soft-decision demodulator. The concatenation
of the Turbo encoder, modulator, AWGN channel,
Turbo decoder, and q-bit soft-decision demodulator
is modeled as a 2 kr -input, 2 qkr -output discrete mem-
oryless channel (DMC), or a binary-input, 2 q -output
DMC used kr times. A low-complexity COVQ scheme
for this expanded discrete channel is then designed.
Numerical results indicate substantial performance
improvements over traditional tandem coding systems
and COVQ schemes designed for hard-decision de-

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)
Linder, Tamás - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering