DBU-OFDM uses recursive Householder reflections to parameterize a block-unitary transform on data subcarriers, yielding lower PAPR, better frequency-selective fading performance, and improved range-velocity estimation in integrated sensing and communication while retaining comb pilots and hardware-1
End-to-end learning for OFDM: From neural receivers to pilotless communication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DBU-OFDM: A Trainable Deep Block-Unitary OFDM Waveform for Integrated Sensing and Communication
DBU-OFDM uses recursive Householder reflections to parameterize a block-unitary transform on data subcarriers, yielding lower PAPR, better frequency-selective fading performance, and improved range-velocity estimation in integrated sensing and communication while retaining comb pilots and hardware-1