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Found 5 papers, 0 papers with code
Changepoint Detection for Real-Time Spectrum Sharing Radar
Radar must adapt to changing environments, and we propose changepoint detection as a method to do so.
Distributed Online Learning for Coexistence in Cognitive Radar Networks
We approach this problem using online Machine Learning (ML) techniques.
Adversarial Multi-Player Bandits for Cognitive Radar Networks
We model a radar network as an adversarial bandit problem, where the environment pre-selects reward sequences for each of several actions available to the network.
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
Results for the IF models showed an overall accuracy of 98% when detecting known and unknown signals with signal impairments present.
Classification of Common Waveforms Including a Watchdog for Unknown Signals
Synchronization of the signals is not needed as we assume there is an unknown and uncompensated time and frequency offset.
