面向车辆高速移动的频谱感知算法研究

doi:10.16039/j.cnki.cn22-1249.2021.11.010

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摘要

为了解决多普勒效应对于车联网中频谱检测速度与精度的影响，研究了在车辆高速移动情况下的频谱感知算法。首先通过引入认知无线电技术以及车联网技术，构建认知车联网网络，针对频谱利用率低下的问题提出一种频谱感知算法。实验结果表明，该算法可以很好的消除多普勒频移效应，提高了频谱检测的性能，解决了车辆在高速移动状态下信号失真等问题。

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	陈玲玲
	郭帅飞
	金小杭

关键词: 认知车联网多普勒效应高速移动频谱感知

Abstract:

In order to solve the influence of Doppler effect on the speed and accuracy of spectrum detection in the Internet of vehicles, the spectrum sensing algorithm in the case of high-speed vehicle movement is studied. Firstly, the cognitive radio technology and the Internet of vehicles technology are introduced to construct the cognitive radio enabled vehicular ad-hoc networks, and a spectrum sensing algorithm is proposed to solve the problem of low spectrum utilization.The experimental results show that the algorithm can eliminate the Doppler shift effect, improve the performance of spectrum detection, and solve the problem of signal distortion when the vehicle is moving at high speed.

Key words: CR-VANETs doppler effect high-speed mobile spectrum sensing

出版日期: 2021-11-25 发布日期: 2021-11-25 整期出版日期: 2021-11-25

ZTFLH:

TN925

引用本文:

陈玲玲, 郭帅飞, 金小杭. 面向车辆高速移动的频谱感知算法研究 [J]. 吉林化工学院学报, 2021, 38(11): 49-53.
CHEN Lingling, GUO Shuaifei, JIN Xiaohang. Research on Spectrum Sensing Algorithm Based on High Speed Moving Vehicle . Journal of Jilin Institute of Chemical Technology, 2021, 38(11): 49-53.

链接本文:

http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2021.11.010 或 http://xuebao.jlict.edu.cn/CN/Y2021/V38/I11/49

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