863 citations · 1.2k across the 7 of their papers we have counts for
9 papers
Drone classification from RF fingerprints using deep residual nets
Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin +1
Detecting UAVs is becoming more crucial for various industries such as airports and nuclear power plants for improving surveillance and security measures. Exploiting radio frequenc…
Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Trade-Offs
Hazem Sallouha, Alessandro Chiumento, Sreeraj Rajendran +1
Localization in long-range Internet of Things networks is a challenging task, mainly due to the long distances and low bandwidth used. Moreover, the cost, power, and size limitatio…
Crowdsourced wireless spectrum anomaly detection
Sreeraj Rajendran, Vincent Lenders, Wannes Meert +1
Automated wireless spectrum monitoring across frequency, time and space will be essential for many future applications. Manual and fine-grained spectrum analysis is becoming imposs…
A multi-layered energy consumption model for smart wireless acoustic sensor networks
Gert Dekkers, Fernando Rosas, Steven Lauwereins +6
Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated de…
Electrosense+: Crowdsourcing Radio Spectrum Decoding using IoT Receivers
Roberto Calvo-Palomino, Héctor Cordobés, Markus Engel +9
Web spectrum monitoring systems based on crowdsourcing have recently gained popularity. These systems are however limited to applications of interest for governamental organization…
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features
Sreeraj Rajendran, Wannes Meert, Vincent Lenders +1
Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use. Wireless spectrum anomalies can take a wide r…
Key Technologies and System Trade-Offs for Detection and Localization of Amateur Drones
Mohammad Mahdi Azari, Hazem Sallouha, Alessandro Chiumento +3
The use of amateur drones (ADrs) is expected to significantly increase over the upcoming years. However, regulations do not allow such drones to fly over all areas, in addition to…
Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors
Sreeraj Rajendran, Wannes Meert, Domenico Giustiniano +2
This paper looks into the technology classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for Automatic Modulation Classificat…
Electrosense: Open and Big Spectrum Data
Sreeraj Rajendran, Roberto Calvo-Palomino, Markus Fuchs +5
While the radio spectrum allocation is well regulated, there is little knowledge about its actual utilization over time and space. This limitation hinders taking effective actions…