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A UWB Non-Line-of-Sight Recognition Method Based on LightGBM
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Qian LI1, Zhuolun LIU2, Xiaoyun SUN2, Yong CHEN2, Shiji SONG2, Xinglong ZHANG2
Telecommunication Engineering | 2025, 65(11) : 1766 - 1772
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Telecommunication Engineering | 2025, 65(11): 1766-1772
• Application Fundamental Research and Advanced Technology •
A UWB Non-Line-of-Sight Recognition Method Based on LightGBM
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Qian LI1, Zhuolun LIU2, Xiaoyun SUN2, Yong CHEN2, Shiji SONG2, Xinglong ZHANG2
Affiliations
  • 1Shijiazhuang Power Supply Branch of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050004, China
  • 2School of Electrical and Engineering，Shijiazhuang Tiedao University，Shijiazhuang 050043，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240530003
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For the optimal feature subset selection and model parameter optimization in ultra-wideband non-line-of-sight(NLOS) recognition，a new NLOS recognition method based on the cross-validation recursive feature elimination algorithm of Light Gradient Boosting Machine(LightGBM) and Optuna parameter tuning is proposed. First，six important features，including the difference between the first path signal and the total received signal power，and the maximum noise，are selected as the optimal feature subset using the recursive feature elimination and cross-validation algorithm. Then，Optuna is used to optimize the hyperparameters of LightGBM model. Line-of-sight and non-line-of-sight feature data is collected，and the Support Vector Machine，Extreme Gradient Boosting algorithm，and parameter-optimized LightGBM model are trained and tested. The results demonstrate that the selected features exhibit excellent discriminative ability，with the optimized LightGBM model achieving a recognition accuracy of 95.28% .

UWB NLOS recognition  /  light gradient boosting machine（LightGBM）  /  recursive feature elimination with cross validation（RFECV）  /  hyperparameter optimization
Qian LI, Zhuolun LIU, Xiaoyun SUN, Yong CHEN, Shiji SONG, Xinglong ZHANG. A UWB Non-Line-of-Sight Recognition Method Based on LightGBM[J]. Telecommunication Engineering, 2025 , 65 (11) : 1766 -1772 . DOI: 10.20079/j.issn.1001-893x.240530003
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Year 2025 volume 65 Issue 11
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Article Info
doi: 10.20079/j.issn.1001-893x.240530003
  • Receive Date：2024-05-30
  • Online Date：2026-04-15
  • Published：2025-11-28
Article Data
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History
  • Received：2024-05-30
  • Revised：2024-09-25
Affiliations
    1Shijiazhuang Power Supply Branch of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050004, China
    2School of Electrical and Engineering，Shijiazhuang Tiedao University，Shijiazhuang 050043，China
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