Earticle

초록

영어

The specific methods of the maximum average mutual information quantization are analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers. Then the min-sum decoding algorithm based on integer arithmetic is implemented. Simulation results demonstrate that the decoding performance of min-sum algorithm based on integer with 7-bit maximum average mutual information quantization is almost the same as that of min-sum algorithm based on integer with 8-bit uniform quantization. Meanwhile, all the variables in the algorithm are fixed-length integers, so it is convenient for hardware implementation. Although the decoding performance is slightly worse than that of the sum-product decoding algorithm, the decoding time is greatly reduced. So it is very convenient for future generation communication.

목차

Abstract
 1. Introduction
 2. The Principle of Min-Sum Algorithm for LDPC Codes
 3. Maximum Average Mutual Information Quantization
 4. Maximum Average Mutual Information Quantization in the Implementation of LDPC Decoding
 5. Performance Simulation and Analysis
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhengkang Chen [ School of Electronics and Information Northwestern Polytechnical University ]
• Huisheng Zhang [ School of Electronics and Information Northwestern Polytechnical University ]
• Lixin Li [ School of Electronics and Information Northwestern Polytechnical University ]
• Nan Qi [ School of Electronics and Information Northwestern Polytechnical University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605