Quantization Methods of the Reliability-Based Iterative Decoding Algorithm for LDPC Codes

This paper investigates the quantization methods of the reliability-based iterative decoding algorithm for LDPC codes. For the uniform quantization, we present a new design criterion to determine the quantization parameters with the clipping interval/probability. Compared to the original parameters...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 738-739; H. Sensors, Measurement, Intelligent Materials and Technologies III; S. 699 - 704
Hauptverfasser: Huang, Xiao Li, Li, Dao Feng, Liang, Qi, Luo, Ling Shan, Qin, Tuan Fa, Chen, Hai Qiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.03.2015
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ISBN:9783038354055, 3038354058
ISSN:1660-9336, 1662-7482, 1662-7482
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Zusammenfassung:This paper investigates the quantization methods of the reliability-based iterative decoding algorithm for LDPC codes. For the uniform quantization, we present a new design criterion to determine the quantization parameters with the clipping interval/probability. Compared to the original parameters setting, the presented design criterion can achieve higher resolution with the allowable quantization distortions. The presented parameter design criterion can be extended to the non-uniform quantization with a slight modification. Simulation results show that, the decoding algorithm can achieve better BER performances and faster convergence rate with smaller quantization bit when compared to the original parameters setting.
Bibliographie:Selected, peer reviewed papers from the 2014 3rd International Conference on Sensors, Measurement and Intelligent Materials (ICSMIM 2014), November 25-26, 2014, Zhuhai, China
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ISBN:9783038354055
3038354058
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.738-739.699