DocumentCode :
3663471
Title :
Optimized quantization and scaling of layered LDPC scaled min-sum decoder
Author :
Ahmed A. Emran;Maha Elsabrouty;Osamu Muta;Hiroshi Furukawa
Author_Institution :
Egypt-Japan University of Science and Technology (E-JUST), New Borg Al-Arab, Alexandria, Egypt
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
2668
Lastpage :
2672
Abstract :
In this paper, we apply an efficient scaling strategy on layered scaled min-sum LDPC decoder. In addition, we propose a joint optimization strategy for the quantization and scaling parameters of layered scaled min-sum LDPC decoder. The study of our optimization results, for DVB-S2 LDPC codes with different constellation sizes and code rates, shows that each constellation size code rate pair has different optimal scaling and quantization parameters. In order to maximize the achievable performance, we propose using the different scaling and quantization parameters for each constellation size code rate pair. The simulation results show the performance improvement of separately using optimal scaling parameters or optimal quantization parameters, and the overall performance enhancement of using both optimal scaling and quantization parameters.
Keywords :
"Quantization (signal)","Decoding","Binary phase shift keying","Optimization","Digital video broadcasting","Iterative decoding"
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
Type :
conf
DOI :
10.1109/ISIT.2015.7282940
Filename :
7282940
Link To Document :
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