Radio Signal Recognition Based on Image Deep Learning

Subjects: Electronics and Communication Technology >> Information Processing submitted time 2018-08-31

周鑫 何晓新 郑昌文

Abstract： " This paper innovatively proposes a technical idea that uses image deep learning to solve the problem of radio signal recognition: first, it transforms the radio signal into a two-dimensional picture, and transforms the radio signal recognition problem into the object detection problem in the field of image recognition; then, it makes use of the advanced achievements about image recognition to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment. Based on this idea, a novel radio signal recognition algorithm named RadioImageDet is proposed in this paper. The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals. After training and testing on the self-collected data set with 12 types and 4740 samples, the accuracy reaches 86.03% and the mAP value reaches 77.72, while the detection time is only 33 milliseconds on the medium configured desktop computer. "

Peer Review Status:Awaiting Review

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