Title :
An improvement of approximate BP decoding
Author :
Hosoya, Gou ; Yashima, Hiroyuki
Author_Institution :
Dept. of Manage. Sci., Tokyo Univ. of Sci., Tokyo, Japan
Abstract :
In this study, we present new methods for piece-wise linear approximation of Min-Sum (MS) decoding algorithm with good trade-off between performance and complexity. By analysis based on density evolution, the performance of the proposed method is identical to that of the Belief-Propagation decoding algorithm. The increment of the complexity of the proposed algorithm is small compared with the MS decoding algorithm. Moreover simulation result also shows effectiveness of the proposed algorithm.
Keywords :
approximation theory; decoding; BP decoding; MS decoding algorithm; belief-propagation decoding algorithm; density evolution; min-sum decoding algorithm; piecewise linear approximation; Algorithm design and analysis; Approximation algorithms; Decoding; Iterative decoding; Linear approximation;
Conference_Titel :
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location :
Melbourne, VIC