dtb (1).xlsx
收藏DataCite Commons2024-09-20 更新2024-11-05 收录
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https://figshare.com/articles/dataset/dtb_1_xlsx/25744212
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资源简介:
The novel contributions of the work titled "Leveraging Machine Learning for the Detection of Structured Interference in Global Navigation Satellite Systems" is given as follows: (i) The proposed method doesn't rely on too many features, thus making it suitable for devices with limited computational capabilities (ii) The proposed method uses data from the delay lock loop (DLL) as intrinsic features, making it suitable for scenarios with carefully managed $C/N_0$ and (iii) It is more robust in classifying counterfeit replicas and true signals compared to traditional SQM and $C/N_0$ based detection strategies.
提供机构:
figshare
创建时间:
2024-05-03



