Title :
A thresholding algorithm for improved split-row decoding method of irregular LDPC codes
Author :
El Alami, Rachid ; Qjidaa, Hassan ; Mehdaoui, Youness ; Mrabti, Mostafa
Author_Institution :
Fac. of Sci. Dhar El Mehraz, Dept. of Phys., LESSI Lab., Sidi Mohamed Ben Abdellah Univ., Fez, Morocco
Abstract :
In this paper, we propose a thresholding algorithm to improve Split-Row decoding method of irregular LDPC codes, with maintaining the same level of complexity. We present in this paper a full description of this method and its benefits for various row weight and length code word. In this context, we have performed an implementation on MATLAB of an irregular LDPC codes with different code word and code rate. Simulation results over an additive white Gaussian channel show that the error performance of high row-weight codes with thresholding algorithm is within 0.1-0.2 dB of the normalized Min-Sum algorithm. The study result shows that the thresholding algorithm outperforms original Split Row of irregular codes.
Keywords :
Gaussian channels; channel coding; decoding; error statistics; parity check codes; Split Row decoding method improvement; additive white Gaussian channel; code rate; code word; high row-weight codes error performance; irregular LDPC codes; normalized minsum algorithm; thresholding algorithm; Bit error rate; Decoding; Parity check codes; Partitioning algorithms; Program processors; Simulation; Wires; Low-density-parity-check codes; bit error rate; normalized MinSum; split-row threshold; standard split-row;
Conference_Titel :
Intelligent Systems and Computer Vision (ISCV), 2015
Conference_Location :
Fez
Print_ISBN :
978-1-4799-7510-5
DOI :
10.1109/ISACV.2015.7106166
