A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV

Chao Liu; Ruipeng Ma; Zheng Si; Mingmin Chi

ICASSP 2023accepted0 citations

A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV

Chao Liu, Ruipeng Ma, Zheng Si, Mingmin Chi

Abstract

The problem of signal detection and classification of multiple UAVs can be solved using object detection techniques in computer vision. However, this requires collecting and labeling a large amount of reliable raw data. Since the UAV signal dataset cannot be directly applied to object detection, we propose a method using time-frequency domain filtering and automatic labeling to construct a large-scale time-frequency spectrogram dataset. Experimental results show that the average recognition accuracies of image transmission signals and remote control signals under interference conditions are 97% and 82%, respectively, while the average errors of signal parameters are 0.93% and 5.57%.

BibTeX

@inproceedings{icassp2023_amethodofconstru,
  title = {A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV},
  author = {Chao Liu and Ruipeng Ma and Zheng Si and Mingmin Chi},
  booktitle = {ICASSP 2023},
  year = {2023}
}