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Multi-functional Radar Signal Sorting Based on Improved Complex Network Community Detection
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Shitong LI, Jin HU, Bo YAN
Telecommunication Engineering | 2025, 65(11) : 1851 - 1858
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Telecommunication Engineering | 2025, 65(11): 1851-1858
Application Fundamental Research and Advanced Technology
Multi-functional Radar Signal Sorting Based on Improved Complex Network Community Detection
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Shitong LI, Jin HU, Bo YAN
Affiliations
  • The 724th Research Institute of China State Shipbuilding Corporation Limited,Nanjing 211153,China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240613003
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For the problem that conventional signal analysis methods are prone to cause the“increasing batch”and“missing batch”in multi-functional radar signal sorting in complex electromagnetic environments, a multi-functional radar signal sorting method based on improved complex network community detection is proposed. This method first transforms the signal sequence into the complex network using limited penetration visibility graph. Then, it introduces spatial clustering with density to eliminate spurious pulses. Subsequently, the label propagation algorithm is improved according to the between centrality of nodes,enhancing the stability of community division. Finally,the sub-communities are merged to complete the signal sorting task by density peak clustering. Simulation results show that the proposed method achieves a sorting accuracy of 98.13% for multi-functional radar signals. Moreover,even when the proportion of spurious pulses increases to 35% , the number of sorted batches remains unchanged, effectively alleviating the“increasing batch”and“missing batch”problems.

multi-functional radar  /  signal sorting  /  increasing batch  /  missing batch  /  limited penetrable visible graph  /  complex network community detection
Shitong LI, Jin HU, Bo YAN. Multi-functional Radar Signal Sorting Based on Improved Complex Network Community Detection[J]. Telecommunication Engineering, 2025 , 65 (11) : 1851 -1858 . DOI: 10.20079/j.issn.1001-893x.240613003
Year 2025 volume 65 Issue 11
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Article Info
doi: 10.20079/j.issn.1001-893x.240613003
  • Receive Date:2024-06-13
  • Online Date:2026-04-15
  • Published:2025-11-28
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  • Received:2024-06-13
  • Revised:2024-07-27
Affiliations
    The 724th Research Institute of China State Shipbuilding Corporation Limited,Nanjing 211153,China
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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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