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Automatic Modulation Recognition Based on Phase Parameter Estimation and Spatial Reconstruction
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Ziyin ZHANG1, Dapeng LI1, Guoqiang SHAN2
Telecommunication Engineering | 2025, 65(11) : 1859 - 1868
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Telecommunication Engineering | 2025, 65(11): 1859-1868
Application Fundamental Research and Advanced Technology
Automatic Modulation Recognition Based on Phase Parameter Estimation and Spatial Reconstruction
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Ziyin ZHANG1, Dapeng LI1, Guoqiang SHAN2
Affiliations
  • 1College of Telecommunications & Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • 2Portland Institute,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240625003
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For the problem that the existing deep learning modulation recognition algorithms are not robust enough and have insufficient generalization ability in complex signal environments,a multi-channel network based on phase parameter estimation and spatial reconstruction(PET-SAMCL) is proposed. First,the input in-phase quadature(IQ) signal is converted by phase parameter estimation and divided into three modules to extract the amplitude-phase feature,IQ combination and branching features of IQ respectively. A spatial reorganization unit(SRU) is added to the feature extraction module to reduce the influence of redundant features. The spatial features are refined and fused by global average pooling and soft attention operations,and the temporal and spatial features are extracted by gated recurrent units(GRU) and bidirectional gated recurrent units(BiGRU) . Ablation study determines the optimal model structure. The model performs well on the RML2016.10a dataset,achieving a maximum recognition accuracy of 93.9% at 14 dB,and the average recognition rate is increased by 7.7% compared with that of other models.

automatic modulation recognition  /  deep learning  /  phase parameter estimation  /  spatial reconstruction unit  /  attention mechanism
Ziyin ZHANG, Dapeng LI, Guoqiang SHAN. Automatic Modulation Recognition Based on Phase Parameter Estimation and Spatial Reconstruction[J]. Telecommunication Engineering, 2025 , 65 (11) : 1859 -1868 . DOI: 10.20079/j.issn.1001-893x.240625003
Year 2025 volume 65 Issue 11
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Article Info
doi: 10.20079/j.issn.1001-893x.240625003
  • Receive Date:2024-06-25
  • Online Date:2026-04-15
  • Published:2025-11-28
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  • Received:2024-06-25
  • Revised:2024-09-26
Affiliations
    1College of Telecommunications & Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2Portland Institute,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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