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A Sparse Detection Method for Broadband Signals by Utilizing Multi-scale Convolutional Attention
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An GONG1, Jinglei ZHANG1, Lantu GUO2, Xiaolei ZHAO2, Yuchao LIU2
Telecommunication Engineering | 2025, 65(11) : 1737 - 1746
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Telecommunication Engineering | 2025, 65(11): 1737-1746
• Application Fundamental Research and Advanced Technology •
A Sparse Detection Method for Broadband Signals by Utilizing Multi-scale Convolutional Attention
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An GONG1, Jinglei ZHANG1, Lantu GUO2, Xiaolei ZHAO2, Yuchao LIU2
Affiliations
  • 1Qingdao Institute of Software，College of Computer Science and Technology，China University of Petroleum（East China），Qingdao 266508，China
  • 2China Radio Wave Propagation Research Institute，Qingdao 266107，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240712001
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In broadband reconnaissance scenarios，achieving high signal detection accuracy often entails significant computational costs. To address this，a multi-scale convolution attention sparse detection(MSCAS) method is proposed，which incorporates prior knowledge of signal spectrograms by capturing long-range temporal dependencies and suppressing irrelevant frequency-domain interference. MSCA-S introduces a multiscale horizontal convolution attention(MSHCA) mechanism that jointly extracts multi-dimensional signal features，enhancing detection accuracy while reducing computational complexity through horizontal convolution. Building on MSHCA，a hierarchically stacked broadband signal detection framework is developed，and sparse feature parameters are used to further optimize computational efficiency. MSCA-S is evaluated on a real-world and simulated broadband signal dataset(2.5 MHz spectrum) collected in Qingdao，achieving an average detection accuracy of 95.6% across varying signal-to-noise ratios. Compared with the frequency-sensitive signal detector，the Swin-Transformer-based protocol recognition method，and the Res-101 detection method，MSCA-S improves accuracy by 0.05%，2.94%，and 6.14%，respectively，while reducing computational costs by 1.53×1010，1.79×1010，and 4.59×1010，respectively.

broadband signal detection and recognition  /  attention mechanisms  /  multi-scale convolution  /  sparse algorithms
An GONG, Jinglei ZHANG, Lantu GUO, Xiaolei ZHAO, Yuchao LIU. A Sparse Detection Method for Broadband Signals by Utilizing Multi-scale Convolutional Attention[J]. Telecommunication Engineering, 2025 , 65 (11) : 1737 -1746 . DOI: 10.20079/j.issn.1001-893x.240712001
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Year 2025 volume 65 Issue 11
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Article Info
doi: 10.20079/j.issn.1001-893x.240712001
  • Receive Date：2024-07-12
  • Online Date：2026-04-15
  • Published：2025-11-28
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  • Received：2024-07-12
  • Revised：2024-10-31
Affiliations
    1Qingdao Institute of Software，College of Computer Science and Technology，China University of Petroleum（East China），Qingdao 266508，China
    2China Radio Wave Propagation Research Institute，Qingdao 266107，China
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