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基于SIMO系统的RA-CDSK通信方案性能分析

段俊毅 杨华 宋玉蓉 蒋国平

中南大学学报(自然科学版)2018,Vol.49Issue(4):893-900,8.
中南大学学报(自然科学版)2018,Vol.49Issue(4):893-900,8.DOI:10.11817/j.issn.1672-7207.2018.04.017

基于SIMO系统的RA-CDSK通信方案性能分析

Performance analysis of RA-CDSK communication scheme based on SIMO system

段俊毅 1杨华 2宋玉蓉 3蒋国平4

作者信息

  • 1. 南京邮电大学通信与信息工程学院,江苏南京,210023
  • 2. 南京铁道职业技术学院通信信号学院,江苏南京,210031
  • 3. 南京邮电大学电子科学与工程学院,江苏南京,210023
  • 4. 南京邮电大学自动化学院,江苏南京,210023
  • 折叠

摘要

Abstract

For the issue of channel fading in wireless communication, a single-input-multiple-output reference-adaptive correlation-delay-shift-keying (SIMO-RA-CDSK) system was proposed. Gaussian approximation method was adopted to obtain the exact performance analysis and the BER formula derivation of SIMO-RA-CDSK system over additive white Gaussian noise (AWGN) channel and Rayleigh flat fading channel. All the analytical results were validated by Monte Carlo simulation. The results show that compared with traditional chaotic communication systems, the scheme not only decreases the intrasignal interference component and noise component during the demodulation, but also obtained the useful signal component gain from the multiple receiver antennas. The bit-error ratio (BER) of SIMO-RA-CDSK decreases with the increase of the number of receiver antennas, and that due to less intrasignal interference and noise interference in SIMO-RA-CDSK, with the same number of receiver antennas, the BER performance of SIMO-RA-CDSK system is better than that of SIMO-CDSK (single-input-multiple-output CDSK) system.

关键词

单输入多输出/参考自适应相关延迟键控(RA-CDSK)/误比特率(BER)

Key words

single-input-multiple-output/RA-CDSK/bit-error ratio (BER)

分类

信息技术与安全科学

引用本文复制引用

段俊毅,杨华,宋玉蓉,蒋国平..基于SIMO系统的RA-CDSK通信方案性能分析[J].中南大学学报(自然科学版),2018,49(4):893-900,8.

基金项目

国家自然科学基金资助项目(61401226,61373136,61672298,61374180) (61401226,61373136,61672298,61374180)

江苏省高校自然科学研究项目(16KJB510045) (16KJB510045)

江苏省"青蓝工程"资助项目(2016)(Projects(61401226, 61373136, 61672298, 61374180) supported by the National Natural Science Foundation of China (2016)

Project(16KJB510045) supported by the University Science Research Project of Jiangsu Province (16KJB510045)

Project(2016) supported by Qing Lan Project) (2016)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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