基于D-SC-FDMA的低峰均功率比多用户通信算法

邢延超; 李泽群; 丁寒雪; 王孝威; 杨光

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基于D-SC-FDMA的低峰均功率比多用户通信算法

更新时间：2026-09-04

- 基于D-SC-FDMA的低峰均功率比多用户通信算法
- Low PAPR multiuser communication algorithm based on D-SC-FDMA
- 微电子学与计算机 2020年37卷第7期页码：66-70
- 作者机构：
  
  1. 青岛理工大学，信息与控制工程学院,山东,青岛,266000
  2. School of Electrical and Electronic Engineering，University of Technology Sydney,Sydney,Australia,2007
- 作者简介：
- 基金信息：
  
  国家自然科学基金 61771271国家自然科学基金 61631008山东省自然科学基金 ZR2016FP06山东省自然科学基金 ZR2017MF024山东省自然科学基金 ZR2018MF002水声技术重点实验室项目 SSKF2018008
- DOI：
  中图分类号：
- 纸质出版：2020
- 稿件说明：
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邢延超, 李泽群, 丁寒雪, 王孝威, 杨光. 基于D-SC-FDMA的低峰均功率比多用户通信算法[J]. 微电子学与计算机, 2020, 37(7): 66-70.

XING Yan-chao, LI Ze-qun, DING Han-xue, et al. Low PAPR multiuser communication algorithm based on D-SC-FDMA[J]. 2020, 37(7): 66-70.
邢延超, 李泽群, 丁寒雪, 王孝威, 杨光. 基于D-SC-FDMA的低峰均功率比多用户通信算法[J]. 微电子学与计算机, 2020, 37(7): 66-70. DOI：

XING Yan-chao, LI Ze-qun, DING Han-xue, et al. Low PAPR multiuser communication algorithm based on D-SC-FDMA[J]. 2020, 37(7): 66-70. DOI：

摘要

针对水声信道复杂，水声正交频分复用算法高峰均功率比问题，提出了基于差分编码映射和单载波频分多址接入的低峰均功率比水声多用户通信算法.在发送端，将源码进行差分编码转化为基带符号，通过N点离散傅里叶变换将基带符号转换为频域符号，从时域上来看，每一个基带符号的数据信息会分布到对应频段上，从频域上来看，每一个频点的信息是所有基带符号在该频率值上全部频率分量；通过M点离散傅里叶反变换，将全频段的全部符号信息搬移到通频带；添加循环前缀，通过换能器发出.在接收端，去除循环前缀；通过M点离散傅里叶变换将通频带的时域符号转换为基带的频域符号；再通过N点离散傅里叶反变换将频域符号转换成基带符号；最后通过差分解映射估计出源码.良好的仿真和试验结果验证了所提算法的有效性.

Abstract

To solve the problem of high peak-to-average power ratio caused by underwater acoustic orthogonal frequency division multiplexing algorithm in the complex underwater acoustic channel environment

a low peak-to-average power ratio underwater acoustic multiuser communication algorithm based on Differential Coding Mapping and Single-carrier Frequency Division Multiple Access (D-SC-FDMA)

is proposed in this paper. On the transmitting end

the source codes are converted into baseband symbols by differential coding mapping; the baseband symbols are converted into frequency domain symbols by N-point discrete Fourier transform. From the time domain

the data information of each baseband symbol is distributed to the corresponding frequency band and from the frequency domain

the information of each frequency point is all frequency components of all baseband symbols at the frequency value. All symbolic information of the whole frequency band is transferred to the passband by M-point inverse discrete Fourier transform. The cyclic prefix is added and the symbols are transmitted through the transducer. On the receiving end

the cyclic prefix is removed; all the symbols are moved from the passband to the baseband by the M-point discrete Fourier transform; then the frequency domain symbols are converted into the baseband symbols by the N-point inverse discrete Fourier transform; finally

the source codes are estimated by differential de-mapping. Good simulation and experimental results verify the effectiveness of the proposed algorithm.

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references

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