UAV detection based on high-order cumulant two-dimensional slice spectrum analysis

Hu Yuqing; Xiao Ninggui; Zhang Hua; Xin Pujie; Pan Peng

doi:10.11959/j.issn.1000-0801.2026116

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UAV detection based on high-order cumulant two-dimensional slice spectrum analysis

Topic: low‑altitude communication | 更新时间：2026-03-31

- UAV detection based on high-order cumulant two-dimensional slice spectrum analysis
- Telecommunications Science Vol. 42, Pages: 1-12(2026)
- 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.航天时代飞鸿技术有限公司，北京 102101
- 作者简介：
- 基金信息：
  
  Zhejiang Provincial Natural Science Foundation of China(QN26F030040)
- DOI：10.11959/j.issn.1000-0801.2026116
  CLC： TN393
- Received：01 December 2025，
  
  Revised：2026-01-12，
  
  Accepted：10 February 2026，
  
  Online First：30 March 2026，
  
  Published：20 April 2026
- 稿件说明：
移动端阅览
胡雨晴,肖宁桂,张华等.基于高阶累积量二维切片谱分析的无人机探测[J].电信科学,

Hu Yuqing,Xiao Ninggui,Zhang Hua,et al.UAV detection based on high-order cumulant two-dimensional slice spectrum analysis[J].Telecommunications Science,
胡雨晴,肖宁桂,张华等.基于高阶累积量二维切片谱分析的无人机探测[J].电信科学, DOI：10.11959/j.issn.1000−0801.2026116.

Hu Yuqing,Xiao Ninggui,Zhang Hua,et al.UAV detection based on high-order cumulant two-dimensional slice spectrum analysis[J].Telecommunications Science, DOI：10.11959/j.issn.1000−0801.2026116.

摘要

随着无人机

（

unmanned aerial vehicle，UAV

）

在城市环境中的广泛应用，其非法入侵带来的安全隐患逐渐突出，复杂城市场景下此类“低小慢”目标检测成为当前研究难点。现有基于高阶累积量的检测方法能够抑制高斯噪声并刻画非高斯特性，但在收发机距离较远或目标回波较弱时，探测性能明显下降。针对这一不足，提出了一种基于高阶累积量二维切片谱分析的探测方法，即通过计算接收信号的高阶累积量展开函数，以保留不同时延组合下的局部结构特征。提取二维切片进行谱分析，通过构建基于频域能量的阈值检测器，增强目标与背景干扰的可分性。仿真结果表明，在复杂多径和低信噪比场景下，所提方法在500 m

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1.43933344

2.28600001

500 m探测范围内检测概率仍可稳定超过60%，验证了该方法对微弱UAV入侵信号的有效性与鲁棒性。

Abstract

With the widespread deployment of unmanned aerial vehicles in urban environments

security threats caused by illegal intrusions have become increasingly prominent. Detecting such “low-altitude

slow

and small” targets in complex urban scenarios remains a challenging problem. Existing detection methods based on high-order cumulants are capable of su

ppressing Gaussian noise and characterizing non-Gaussian signal features; however

their detection performance degrades significantly when the transmitter-receiver separation is large or the target echo is weak. To address this limitation

a detection method based on two-dimensional slice spectrum analysis of high-order cumulants was proposed. Specifically

the high-order cumulant expansion function of the received signal was computed to preserve local structural features under different delay combinations. Two-dimensional slices were extracted for spectral analysis

and a frequency-domain energy-based threshold detector was constructed to enhance the separability between the target and background interference. Simulation results demonstrate that

in complex multipath and low signal-to-noise ratio scenarios

the proposed method can maintain a detection probability exceeding 60% within a 500 m

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=102999751&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=102999736&type=

1.43933344

2.28600001

500 m surveillance area

thereby validating its effectiveness and robustness for detecting weak UAV intrusion signals.

关键词

Keywords

references

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