系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (11): 3522-3528.doi: 10.12305/j.issn.1001-506X.2022.11.28

• 通信与网络 • 上一篇    下一篇

多载波OFDM信号识别方法

朱立为*, 黄知涛   

  1. 国防科技大学电子科学学院, 湖南 长沙 410073
  • 收稿日期:2021-11-13 出版日期:2022-10-26 发布日期:2022-10-29
  • 通讯作者: 朱立为
  • 作者简介:朱立为(1985—), 男, 博士研究生, 主要研究方向为复杂信号侦察处理技术|黄知涛(1976—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为循环平稳信号处理理论及应用、阵列信号处理、通信信号侦察处理、无源目标探测与定位、空间信息对抗
  • 基金资助:
    湖南省自然科学创新群体(2019JJ10004)

Recognition method of multi carrier OFDM signal

Liwei ZHU*, Zhitao HUANG   

  1. School of Electronic Science, National University of Defense Technology, Changsha 410073, China
  • Received:2021-11-13 Online:2022-10-26 Published:2022-10-29
  • Contact: Liwei ZHU

摘要:

无人机(unmanned aerial vehicle, UAV)技术发展迅速, 应用十分广泛, 用作UAV测控数传的正交频分复用(orthogonal frequency division multiplexing, OFDM)信号, 给民用无线频谱管理、军用非合作通信技术带来不小的挑战。基于此, 提出了一种基于包络相关谱的OFDM信号检测识别算法。主要利用OFDM信号的时域相关性, 通过计算信号的复包络相关谱, 并检测判断其相关谱的离散周期性, 实现了在非合作通信中OFDM信号的识别。相比基于高阶累积量的检测识别算法, 所提算法具有更好的信噪比适应能力, 而且不需要设定判别的经验阈值, 同时还能估计出子信道的带宽。仿真实验结果验证了所提方法的有效性。

关键词: 正交频分复用, 信号识别, 包络相关谱

Abstract:

Unmanned aerial vehicle (UAV) technology has developed rapidly and is widely used. As the orthogonal frequency division multiplexing (DFDM) signal of UAV measurement and control data transmission, it brings great challenges to civil wireless spectrum management and military non cooperative communication technology. Based on this, an OFDM signal detection and recognition algorithm based on envelope correlation spectrum is proposed. The algorithm mainly uses the time-domain correlation of OFDM signal, calculates the complex envelope correlation spectrum of the signal, detects and judges the discrete periodicity of its correlation spectrum, and realizes the identification of OFDM signal in noncooperative communication. Compared with the detection and recognition algorithm based on high-order cumulant, the proposed algorithm has better adaptability to signal to noise ratio, does not need to set the empirical threshold, and can estimate the bandwidth of subchannel. Simulation results show the effectiveness of the proposed method.

Key words: orthogonal frequency division multiplexing (OFDM), signal recognition, envelope correlation spectrum

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