Drone classification from RF fingerprints using deep residual nets

no code implementations • 27 Nov 2020 • Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin, Bart Scheers

With the help of a newly proposed residual Convolutional Neural Network (CNN) model, we show that the drone RF frequency signatures can be used for effective classification.

Classification General Classification

A multi-layered energy consumption model for smart wireless acoustic sensor networks

1 code implementation • 17 Dec 2018 • Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers

This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features

1 code implementation • 22 Jul 2018 • Sreeraj Rajendran, Wannes Meert, Vincent Lenders, Sofie Pollin

Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use.

Anomaly Detection Data Compression

Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

1 code implementation • 27 Jul 2017 • Sreeraj Rajendran, Wannes Meert, Domenico Giustiniano, Vincent Lenders, Sofie Pollin

We show that a LSTM based model can learn good representations of variable length time domain sequences, which is useful in classifying modulation signals with different symbol rates.

Networking and Internet Architecture