A frequency detection method of differential frequency hopping signal based on FasterRcnn

Bo Qian; Yue Li

doi:10.1117/12.2675252

25 May 2023 A frequency detection method of differential frequency hopping signal based on FasterRcnn

Bo Qian, Yue Li

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126362R (2023) https://doi.org/10.1117/12.2675252
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In order to improve the accuracy of differential frequency hopping signal detection, a frequency detection method is proposed based FasterRcnn. Firstly, the received differential frequency hopping signal is converted to time-frequency by STFT. The time-frequency distribution of the signal is obtained. Then the position information of the frequency point and the frequency of differential frequency hopping signal are used as tags. The position information of the frequency points in the time-frequency distribution graph is marked with four-dimensional coordinate, and is inputted into the FasterRcnn convolutional neural network for training. The simulation results show that the frequency detection method based on FasterRcnn convolutional neural network can effectively detect the frequency of differential frequency hopping signals.

Citation Download Citation

Bo Qian and Yue Li "A frequency detection method of differential frequency hopping signal based on FasterRcnn", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126362R (25 May 2023); https://doi.org/10.1117/12.2675252

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