Research on LDPC in an OFDM System

Author:

Shi Chong-Yue,Li Hui,zhou You-Ling,Wang Ping,Li Qian,Xue Liu-Xun,Xu Jie

Abstract

Abstract In this paper, LDPC codes and OFDM technologies are studied, and combines LDPC and OFDM to simulate and verify the performance. The encoding of LDPC and logarithmic domain BP decoding algorithm and the principle of OFDM are introduced. Through MATLAB, the simulation of OFDM-LDPC system in different channel, different code length, different iteration times, LDPC and OFDM-LDPC in the same conditions are compared. Through simulation analysis, we can know that the performance of OFDM-LDPC system will improve with the increase of the code length. When the SNR is small, the number of iterations has little effect on the performance of OFDM-LDPC system. When the SNR is large, the performance of the system will be improved with the increase of the number of iterations. The performance of OFDM-LDPC codes is better than that of LDPC codes. The performance of OFDM-LDPC code is better than LDPC code in multipath Rayleigh fading channel.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference13 articles.

1. Channel Coding for Multi-Carrier Wireless Partial Duplex[J];Barzegar;Wireless Communications and Mobile Computing,2019

2. FPGA-Oriented LDPC Decoder for Cyber-Physical Systems[J];Kuc;Mathematics,2020

3. Research on OFDM Technology and Synchronization in Wireless Communication[J];Wang;China New Communications,2015

4. Design of High-Performance and Area-Efficient Decoder for 5G LDPC Codes[J];Cui;Circuits and Systems I: Regular Papers, IEEE Transactions on,2020

5. LDPC code with Dynamically adjusted LLR under FSO turbulence channel[J];Cao;Journal of Physics Conference Series,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving the Power Efficiency in OFDM System using LDPC Codes;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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