Title :
A modified Bahl algorithm for recursive systematic convolutional codes on Rayleigh fading channels
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The Bahl algorithm (1974) is a maximum a posteriori (MAP) decoding method for linear codes which minimizes the bit error probability by estimating the a posteriori probabilities (APP) of the states and transitions of a Markov source observed through a discrete memoryless channel. A modified version of the Bahl algorithm was presented by Berrou, Glavieux and Thitimajshima (1993) for iteratively decoding turbo codes for the additive white Gaussian noise channel. In this paper we consider MAP decoding of turbo codes using the Bahl algorithm for a memoryless Rayleigh fading channel
Keywords :
Rayleigh channels; binary codes; convolutional codes; error statistics; maximum likelihood decoding; memoryless systems; turbo codes; MAP decoding method; Markov source; a posteriori probabilities; binary codes; bit error probability; channel model; discrete memoryless channel; maximum a posteriori decoding; memoryless Rayleigh fading channel; modified Bahl algorithm; recursive systematic convolutional codes; turbo codes; Additive white noise; Convolutional codes; Error probability; Fading; Iterative algorithms; Iterative decoding; Linear code; Memoryless systems; State estimation; Turbo codes;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.778021
