中圖分類號(hào)：TN924,；TP391 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.234739 中文引用格式： 寧昭義,，許國(guó)宏，王耀磊. 基于深度學(xué)習(xí)的互聯(lián)網(wǎng)接收機(jī)中特定信號(hào)識(shí)別[J]. 電子技術(shù)應(yīng)用,，2024,，50(5)：66-70. 英文引用格式： Ning Zhaoyi，Xu Guohong,，Wang Yaolei. Specific signal recognition in internet receivers based on deep learning[J]. Application of Electronic Technique,，2024，50(5)：66-70.
Specific signal recognition in internet receivers based on deep learning
Ning Zhaoyi,，Xu Guohong,，Wang Yaolei
The 22th Research Institute of CETC
Abstract： With the development of Software Defined Radio（SDR） technology and internet technology, a large number of internet receivers are connected to the internet and can access their spectrum waterfall data at will. Spectral waterfall plot is a way to display the frequency domain and time domain characteristics of signals, visually displaying signals of different frequencies in the form of images. In order to better monitor specific signals in the spectral waterfall plot, it is necessary to intelligently identify specific signals in the spectrogram. This article uses deep learning technology to recognize specific signals in the waterfall spectrum, and the recognition accuracy is more than 90% when the signal-to-noise ratio is more than 5 dB.
Key words : SDR；deep learning,；internet receiver,；waterfall
