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- W3006820218 abstract "In view of the increasing on-board processing capacity, this paper investigates the possibility of the communication reconnaissance on LEO constellation satellite platforms, and proposes a wireless signal recognition algorithm based on deep learning. The proposed algorithm visualizes the wireless signal as a picture based on the basic digital signal processing, as a result, the signal recognition problem is subtly transferred to an object detection problem recurring in the field of Computer Vision (CV). Then, it co-opts deep learning models in CV field in order to realize the end-to-end signal recognition and improve the performance. Validating results on the field-collected signal dataset with 12 types and 4740 samples show that, the algorithm can effectively identify the waveform types and time/frequency coordinates of communication signals with the precision 89%, which is 40% higher than traditional algorithms." @default.
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- W3006820218 date "2020-01-01" @default.
- W3006820218 modified "2023-09-23" @default.
- W3006820218 title "Wireless Signal Recognition Based on Deep Learning for LEO Constellation Satellite" @default.
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- W3006820218 doi "https://doi.org/10.1007/978-981-15-3442-3_23" @default.
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