Least squares decoding in binomial frequency division multiplexing

Author:

Kim Myungsup1ORCID,Jung Jiwon1,Kim Ki‐Man1

Affiliation:

1. Department of Radio Communications Korea Maritime and Ocean University Busan Republic of Korea

Abstract

AbstractThis paper proposes a method that can reduce the complexity of a system matrix by analyzing the characteristics of a pseudoinverse matrix to receive a binomial frequency division multiplexing (BFDM) signal and decode it using the least squares (LS) method. The system matrix of BFDM can be expressed as a band matrix, and as this matrix contains many zeros, its amount of calculation when generating a transmission signal is quite small. The LS solution can be obtained by multiplying the received signal by the pseudoinverse matrix of the system matrix. The singular value decomposition of the system matrix indicates that the pseudoinverse matrix is a band matrix. The signal‐to‐interference ratio is obtained from their eigenvalues. Meanwhile, entries that do not contribute to signal generation are erased to enhance calculation efficiency. We decode the received signal using the pseudoinverse matrix and the removed pseudoinverse matrix to obtain the bit error rate performance and to analyze the difference.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Reference30 articles.

1. LTE; Evolved universal terrestrial radio access (E‐UTRA); user equipment (UE) radio transmission and reception (3GPP TS 36.101 version 10.3.0 release 10) ETSI TS 136 101 V10.3.0 2011‐06.

2. Specification framework for TGax IEEE 802.11‐15/0132r15.

3. A comparison study of the uplink performance of W-CDMA and OFDM for mobile multimedia communications via LEO satellites

4. Digital Video Broadcasting (DVB).Transmission system for handheld terminals (DVB‐H) ETSI(2004) EN 302304 v1.1.1.

5. L.Cho X. H.Yu C. Y.Chen andC. Y.Hsu Green OFDM for IoT: Minimizing IBO subject to a spectral mask (IEEE International Conference on Applied System Invention Chiba Japan) 2018 pp.13–17.https://doi.org/10.1109/ICASI.2018.8394252

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