Title :
SNR mismatch and online estimation in turbo decoding
Author :
Summers, Todd A. ; Wilson, Stephen G.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
fDate :
4/1/1998 12:00:00 AM
Abstract :
Iterative decoding of turbo codes, as well as other concatenated coding schemes of similar nature, requires knowledge of the signal-to-noise ratio (SNR) of the channel so that proper blending of the a posteriori information of the separate decoders is achieved. We study the sensitivity of decoder performance to misestimation of the SNR, and propose a simple online scheme that estimates the unknown SNR from each code block, prior to decoding. We show that this scheme is sufficiently adequate in accuracy to not appreciably degrade the performance
Keywords :
concatenated codes; decoding; iterative methods; parameter estimation; AWGN channel; SNR misestimation; SNR mismatch; code block; concatenated coding; decoder performance; iterative decoding; online estimation; signal-to-noise ratio; turbo codes; turbo decoding; Channel capacity; Concatenated codes; Degradation; Error correction; Gaussian noise; Iterative decoding; Random variables; Signal to noise ratio; Statistics; Turbo codes;
Journal_Title :
Communications, IEEE Transactions on