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Found 4 papers, 0 papers with code
Fast Data-Driven Adaptation of Radar Detection via Meta-Learning
One approach is based on transfer learning: it first pre-trains a detector such that it works well on data collected in previously observed environments, and then it adapts the pre-trained detector to the specific current environment.
Joint Design of Radar Waveform and Detector via End-to-end Learning with Waveform Constraints
In the second approach, the transmitter and detector are trained simultaneously.
End-to-end Learning of Waveform Generation and Detection for Radar Systems
An end-to-end learning approach is proposed for the joint design of transmitted waveform and detector in a radar system.
Signal Processing
Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network
A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels.
