A conditional Wasserstein GAN with an LSTM generator synthesizes constant-modulus MIMO phase codes whose measured transmit beampatterns match trained beam-shape classes, with fast inference after training.
Generative adversarial nets,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Generative Deep Synthesis of MIMO Sensing Waveforms with Desired Transmit Beampattern
A conditional Wasserstein GAN with an LSTM generator synthesizes constant-modulus MIMO phase codes whose measured transmit beampatterns match trained beam-shape classes, with fast inference after training.