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
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;
Conference_Titel :
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location :
Niigata
DOI :
10.1109/ICIS.2013.6607890
