Transcription of Convolutional Radio Modulation Recognition …
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Convolutional Radio Modulation Recognition …
Convolutional Radio Modulation RecognitionNetworksTimothy J. O Shea1, Johnathan Corgan2, and T. Charles Clancy11 Bradley Department of Electrical and Computer Engineering, Virginia Tech, NGlebe Road, Arlington, VA Labs, Meridian Ave., Suite - , San Jose, CA study the adaptation of Convolutional neural networksto the complex-valued temporal Radio signal domain. We compare theefficacy of Radio Modulation classification using naively learned featuresagainst using expert feature based methods which are widely used todayand e show significant performance improvements. We show that blindtemporal learning on large and densely encoded time series using deepconvolutional neural networks is viable and a strong candidate approachfor this task especially at low signal to noise :machine learning, Radio , software Radio , Convolutional networks,deep learning, Modulation Recognition , cognitive Radio , dynamic spectrum access IntroductionRadio communications present a unique signal processing domain with a numberof interesting challenges and opportunities fo
Convolutional Radio Modulation Recognition Networks TimothyJ.O’Shea 1,JohnathanCorgan2,andT.CharlesClancy 1 BradleyDepartmentofElectricalandComputerEngineering,VirginiaTech, N
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