Title :
Gaussian Approximation for LDPC Codes
Author :
Asoodeh, S. ; Ramezani, H. ; Samimi, H.
Author_Institution :
Shahid Beheshti Univ., Tehran
Abstract :
Today, LDPC codes have become one of the hottest topics in coding theory. Unlike many other classes of cods LDPC codes are already equipped with very fast (probabilistic) encoding and decoding algorithm. The decoding of LDPC codes are implemented through message-passing algorithm. Passed messages can be modeled as Gaussian variables. In this paper, the new approximate method for calculation of statistical parameters of these Gaussian variables is proposed. Based on proposed method, we can be able to estimate the threshold level of noise of regular LDPC codes over AWGN channels.
Keywords :
AWGN channels; Gaussian distribution; message passing; parity check codes; AWGN channels; Gaussian approximation; Gaussian variables; LDPC codes; decoding algorithm; low density parity check codes; message-passing algorithm; probabilistic encoding; statistical parameters; AWGN channels; Additive white noise; Block codes; Gaussian approximation; Gaussian noise; Iterative algorithms; Iterative decoding; Noise level; Parity check codes; Turbo codes;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.364
