Author :
Oh, Wangrok ; Cheun, Kyungwhoon
Author_Institution :
Dept. of Electron. & Electr. Eng., Pohang Inst. of Sci. & Technol., South Korea
Abstract :
We propose an adaptive channel SNR estimation algorithm required for the iterative MAP decoding of turbo decoders. The proposed algorithm uses the extrinsic values generated within the iterative MAP decoder to update the channel SNR estimate toward its optimum value per each decoder iteration or per each turbo code frame.
Keywords :
AWGN channels; adaptive estimation; concatenated codes; convolutional codes; error statistics; iterative decoding; turbo codes; AWGN channels; adaptive channel SNR estimation algorithm; additive white Gaussian noise channels; channel SNR estimate updating; iterative MAP decoding; parallel concatenated convolutional codes; recursive systematic convolutional codes; simulation results; turbo decoder; AWGN channels; Binary phase shift keying; Concatenated codes; Estimation error; Iterative algorithms; Iterative decoding; Modulation coding; Phase modulation; Turbo codes; Viterbi algorithm;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.864186
