Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features

no code implementations • 11 Aug 2020 • J. B. Persons, Lauren J. Wong, W. Chris Headley, Michael C. Fowler

To improve the utility and scalability of distributed radio frequency (RF) sensor and communication networks, reduce the need for convolutional neural network (CNN) retraining, and efficiently share learned information about signals, we examined a supervised bootstrapping approach for RF modulation classification.

Classification General Classification