DocumentCode
3156606
Title
An improved normalized min-sum algorithm for LDPC codes
Author
Jinlei Chen ; Yan Zhang ; Ruiyi Sun
Author_Institution
Shenzhen Grad. Sch., Key Lab. of Network Oriented Intell. Comput., Harbin Inst. of Technol., Shenzhen, China
fYear
2013
fDate
16-20 June 2013
Firstpage
509
Lastpage
512
Abstract
An improved normalized min-sum (IN-MS) algorithm is proposed for decoding low-density parity-check (LDPC) codes. In this algorithm, two normalized factors are used in check node computing, one for the minimum data and another for the second minimum data, and this algorithm achieves a better approximation to the BP algorithm. Simulation results show that the decoding performance of IN-MS algorithm is better than that of the normalized min-sum (NMS) algorithm.
Keywords
decoding; parity check codes; BP algorithm; IN-MS algorithm; LDPC codes; check node computing; decoding; improved normalized min-sum algorithm; low-density parity-check codes; Approximation algorithms; Bit error rate; Complexity theory; Decoding; Iterative decoding; Simulation; LDPC codes; LDPC decoding; normalized min-sum algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location
Niigata
Type
conf
DOI
10.1109/ICIS.2013.6607890
Filename
6607890
Link To Document