Title :
Analysis of iterative decoding of turbo codes
Author :
Tan, Jun ; Stuber, Gordon L.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
An analytical model for the extrinsic information of iterative max-log-MAP decoding of turbo codes is established based on a maximum probability approximation. The extrinsic information can be expressed as a Gaussian random variable with a mean and variance that are linear combinations of the received symbols. An important measure, called the effective weight, which is related to the pairwise error probability, is defined to explain the iterative decoding effect on a given code sequence. The evaluation of the pairwise error probability performance through decoder iterations can be calculated based on this model. The proposed approach can serve as a tool for the analysis of iterative max-log-MAP decoding
Keywords :
Gaussian processes; approximation theory; binary codes; convolutional codes; error statistics; iterative decoding; maximum likelihood decoding; turbo codes; Gaussian random variable; Viterbi algorithm; analytical model; binary convolutional code; code sequence; effective weight; iterative decoding; iterative max-log-MAP decoding; maximum likelihood decoding; maximum probability approximation; mean; pairwise error probability; received symbols; turbo codes; variance; Analytical models; Convergence; Error probability; Gaussian approximation; Information analysis; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Pairwise error probability; Turbo codes;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965631
