activity
20182022
most citedSignal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification

1 citations · 2 across the 9 of their papers we have counts for

collaborators

17 papers

eess.SP2022

Distributed Transmit Beamforming: Analyzing the Maximum Communication Range

Samer Hanna, Danijela Cabric

Distributed transmit beamforming is a technique that adjusts the signals from cooperating radios to combine coherently at a destination radio. To achieve coherent combining, the ra…

eess.SP2022

WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting

Samer Hanna, Samurdhi Karunaratne, Danijela Cabric

RF fingerprinting leverages circuit-level variability of transmitters to identify them using signals they send. Signals used for identification are impacted by a wireless channel a…

cs.LG2021

Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval

Samurdhi Karunaratne, Samer Hanna, Danijela Cabric

As the Internet of Things (IoT) continues to grow, ensuring the security of systems that rely on wireless IoT devices has become critically important. Deep learning-based passive p…

eess.SP2021

Distributed Transmit Beamforming: Design and Demonstration from the Lab to UAVs

Samer Hanna, Danijela Cabric

Cooperating radios can extend their communication range by adjusting their signals to ensure coherent combining at a destination radio. This technique is called distributed transmi…

eess.SP2021

Open Set RF Fingerprinting using Generative Outlier Augmentation

Samurdhi Karunaratne, Samer Hanna, Danijela Cabric

RF devices can be identified by unique imperfections embedded in the signals they transmit called RF fingerprints. The closed set classification of such devices, where the identifi…

eess.SP20211 cited

Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification

Samer Hanna, Chris Dick, Danijela Cabric

Blindly decoding a signal requires estimating its unknown transmit parameters, compensating for the wireless channel impairments, and identifying the modulation type. While deep le…