Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes

Author:

Lv Yijie1ORCID,Hong Shaohua1,Wang Lin1ORCID

Affiliation:

1. Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China

Abstract

Although extensive optimization of encoding and decoding schemes for joint source-channel coding (JSCC) systems has been conducted, efficient optimization schemes are still required for designing and optimizing the linking matrix between variable nodes of the source code and check nodes of the channel code. A scheme has been proposed for design and optimization of linking matrix with multi-edges by analyzing the performance of the JSCC system using the joint protograph extrinsic information transfer algorithm to calculate decoding thresholds. The proposed scheme incorporates structural constraints and is effective in designing and optimizing the multi-edges in linking matrix for the JSCC system. Experimental results have demonstrated that the designed and optimized linking matrix significantly improves the performance of the JSCC system. Furthermore, the proposed scheme reduces the complexity of the solution space for the optimized example.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Key Program of Marine Economy Development Special Foundation of Department of Natural Resources of Guangdong Province

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference18 articles.

1. A mathematical theory of communication;Shannon;Bell Syst. Tech. J.,1948

2. Design of high-rate LDPC codes based on matroid theory;Wu;IEEE Commun. Lett.,2019

3. Low-density parity-check (LDPC) codes constructed from protographs;Thorpe;Ipn Prog. Rep.,2003

4. Turbo coding of strongly nonuniform memoryless sources with unequal energy allocation and PAM signaling;Cabarcas;IEEE Trans. Signal Process.,2006

5. Fresia, M., Perez-Cruz, F., and Poor, H.V. (July, January 28). Optimized concatenated LDPC codes for joint source-channel coding. Proceedings of the IEEE International Symposium on Information Theory, Seoul, Republic of Korea.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3