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A modified normalized min‐sum algorithm for LDPC decoding using order statistics
Author(s) -
Xue Wen,
Ban Tian,
Wang Jianxin
Publication year - 2016
Publication title -
international journal of satellite communications and networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 39
eISSN - 1542-0981
pISSN - 1542-0973
DOI - 10.1002/sat.1173
Subject(s) - decoding methods , algorithm , computer science , low density parity check code , node (physics) , position (finance) , order (exchange) , statistics , mathematics , structural engineering , finance , engineering , economics
Summary In this paper, we propose a new modified normalized min‐sum algorithm for low‐density parity‐check decoding. Instead of normalizing the results of the check node renew calculations by a single modification factor, we use two different modification factors to normalize the results of check node renew calculations. One modification factor for the position of the first minimum value and another modification factor for other positions. We obtain two modification factors by theoretical analysis using the theory of order statistics. Simulation results show that the new modified normalized min‐sun algorithm achieves better bit error rate performance than normalized min‐sun algorithm without adding implementation complexity. Copyright © 2016 John Wiley & Sons, Ltd.