{"title":"Modulation recognition with GNU radio, keras, and HackRF","authors":"Jack L. Ziegler, Robert T. Arn, W. Chambers","doi":"10.1109/DySPAN.2017.7920747","DOIUrl":null,"url":null,"abstract":"Recognition and classification of the modulation format of received signals in real time is a challenging but necessary task for the intelligence community. Without prior knowledge of the received data, such as power, frequency, and phase, coupled with real-world concerns such as signal degradation and interference, the task of reconstructing the sent information is made even more complex. Our approach for classifying modulation types of live over-the-air signals, a precursor step to demodulation, involves using software defined radio plus two simple and inexpensive transceivers to train a series of neural networks over a set of three data types.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DySPAN.2017.7920747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Recognition and classification of the modulation format of received signals in real time is a challenging but necessary task for the intelligence community. Without prior knowledge of the received data, such as power, frequency, and phase, coupled with real-world concerns such as signal degradation and interference, the task of reconstructing the sent information is made even more complex. Our approach for classifying modulation types of live over-the-air signals, a precursor step to demodulation, involves using software defined radio plus two simple and inexpensive transceivers to train a series of neural networks over a set of three data types.