基于Nyquist折叠接收和CBDNet-YOLOv5的非合作信号超宽带感知与载频测量

袁子杰; 仇兆炀; 王佩; 李博文; 汤嘉城

doi:10.11959/j.issn.1000-0801.2026026

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基于Nyquist折叠接收和CBDNet-YOLOv5的非合作信号超宽带感知与载频测量

研究与开发 | 更新时间：2026-03-05

- 基于Nyquist折叠接收和CBDNet-YOLOv5的非合作信号超宽带感知与载频测量
- Ultra-wideband spectrum sensing and carrier frequency estimation for non-cooperative signals based on Nyquist folding receiver and CBDNet-YOLOv5
- 电信科学 2026年42卷第2期页码：29-44
- 作者机构：
  
  1.杭州电子科技大学通信工程学院，浙江杭州 310018
  2.南京电子设备研究所，江苏南京 210016
- 作者简介：
  
  [ "袁子杰（2001- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为超宽带频谱感知。" ]
  仇兆炀，（1987- ），男，博士，杭州电子科技大学通信工程学院副教授，主要研究方向为信号采样、信号处理和宽带感知。nerv2015@foxmail.com
  王佩（1988- ），男，博士，南京电子设备研究所高级工程师，主要研究方向为电磁频谱数据智能分析处理技术。
  李博文（1999- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为雷达信号参数估计等。
  汤嘉城（2000- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为超宽带频谱感知和信号处理。
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2026026
  中图分类号： TN971
- 收稿：2025-08-29，
  
  修回：2025-08-21，
  
  录用：2025-08-29，
  
  纸质出版：2026-02-20
- 稿件说明：
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袁子杰,仇兆炀,王佩等.基于Nyquist折叠接收和CBDNet-YOLOv5的非合作信号超宽带感知与载频测量[J].电信科学,2026,42(02):29-44.

Yuan Zijie,Qiu Zhaoyang,Wang Pei,et al.Ultra-wideband spectrum sensing and carrier frequency estimation for non-cooperative signals based on Nyquist folding receiver and CBDNet-YOLOv5[J].Telecommunications Science,2026,42(02):29-44.
袁子杰,仇兆炀,王佩等.基于Nyquist折叠接收和CBDNet-YOLOv5的非合作信号超宽带感知与载频测量[J].电信科学,2026,42(02):29-44. DOI： 10.11959/j.issn.1000-0801.2026026.

Yuan Zijie,Qiu Zhaoyang,Wang Pei,et al.Ultra-wideband spectrum sensing and carrier frequency estimation for non-cooperative signals based on Nyquist folding receiver and CBDNet-YOLOv5[J].Telecommunications Science,2026,42(02):29-44. DOI： 10.11959/j.issn.1000-0801.2026026.

摘要

随着电磁频谱使用频段的不断拓宽，非合作感知系统的宽带感知能力受到挑战。Nyquist折叠接收机（Nyquist folding receiver，NYFR）具备超宽带感知能力，输出信号重构依赖Nyquist区（Nyquist zone，NZ）标号估计，但是，同时到达多个非合作调制信号时，现有NZ标号估计算法难以具备泛化能力。针对上述问题，提出了基于卷积盲去噪网络（convolutional blind denoising network，CBDNet）和YOLOv5的NYFR输出信号参数估计算法，将NYFR输出信号转换为时频图像，通过CBDNet重构信号时频特征，再利用YOLOv5估计信号NZ标号，最后根据NZ标号重构信号频谱并计算被感知原信号的未知频率。仿真结果表明，该方法能以2 GHz的采样率完成0~20 GHz频段内多种调制信号的频谱感知和载频估计，且在频谱混叠时具有较好的感知性能，提升了感知系统对非合作信号的泛化感知和载频估计能力。

Abstract

With the continuous expansion of the utilized electromagnetic spectrum

the wideband sensing capability of reconnaissance receivers is increasingly challenged. The Nyquist folding receiver (NYFR)

characterized by its ultra-wideband sensing potential

depends on the estimation of the Nyquist zone (NZ) index to reconstruct signal. However

existing NZ index estimation algorithms fail to achieve satisfactory generalization performance for mixed inputs comprising multiple types of non-cooperative signals. Based on the convolutional blind denoising network (CBDNet) and YOLOv5

a novel parameter estimation algorithm for NYFR output signals was proposed to solve these problems. Firstly

the output signals of the NYFR were transformed into time-frequency representations. Then

CBDNet was used to reconstruct the time-frequency features of signal

and YOLOv5 was used to estimate the corresponding NZ index. Based on the estimation results of NZ index

each signal spectrum was reconstructed

and the unknown carrier frequencies of the sensed signals were obtained. Simulation results validate the effectiveness of the algorithm approach

demonstrating its capability to sense spectrum accurately and estimate carrier frequency for a variety of modulation types from 0～20 GHz

under a sampling rate of 2 GHz. Furthermore

the method exhibits robust performance under spectrum aliasing conditions

enhancing the generalization and adaptability of the NYFR for processing non-cooperative modulated signals.

关键词

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references

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