Electronics Optics & Control, Volume. 32, Issue 6, 94(2025)

Signal Sorting Based on Parallel Denoising Autoencoder

WEI Mingfeng, TANG Lu, YU Zichuan, and WANG Kai
Author Affiliations
  • School of Information Science and Engineering, Southeast University, Nanjing 211000, China
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    In the task of signal sorting in the field of electronic countermeasures,in order to solve the problem that the traditional PRI-based method is difficult to sort in complex environments,a radiation source sorting method based on parallel denoising autoencoder is proposed.The method implements binary pre-processing of TOA sequences,constructs a parallel denoising autoencoder model,and realizes the synchronous sorting of various types of aliased signals.Experimental results show that the proposed method maintains high accuracy and good robustness under the influence of high error.Compared with the traditional algorithm,this method improves the sorting accuracy,and the accuracy of the algorithm can still be maintained above 90% when the pulse loss rate reaches 50%.

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    WEI Mingfeng, TANG Lu, YU Zichuan, WANG Kai. Signal Sorting Based on Parallel Denoising Autoencoder[J]. Electronics Optics & Control, 2025, 32(6): 94

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    Paper Information

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    Received: Feb. 29, 2024

    Accepted: Jun. 12, 2025

    Published Online: Jun. 12, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.06.015

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