AFBM, a filter-banked chirp-precoded waveform, achieves lower PAPR and OOBE than AFDM in simulation while supporting a belief-propagation data receiver and an EM-assisted sensing receiver.
Affine Filter Bank Modulation: A New Waveform for High Mobility Communications
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abstract
We propose a new waveform suitable for integrated sensing and communications (ISAC) systems facing doubly-dispersive (DD) channel conditions, as typically encountered in high mobility scenarios. Dubbed Affine Filter Bank Modulation (AFBM), this novel waveform is designed based on a filter-bank structure, known for its ability to suppress out-of-band emissions (OOBE), while integrating a discrete affine Fourier transform (DAFT) precoding stage which yields low peak-to-average power ratio (PAPR) and robustness to DD distortion, as well as other features desirable for ISAC. Analytical and simulation results demonstrate that AFBM maintains quasi-orthogonality similar to that of affine frequency division multiplexing (AFDM) in DD channels, while achieving PAPR levels 3 dB lower, in addition to OOBE as low as -100 dB when implemented with PHYDYAS prototype filters.
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Affine Filter Bank Modulation (AFBM): A Novel 6G ISAC Waveform with Low PAPR and OOBE
AFBM, a filter-banked chirp-precoded waveform, achieves lower PAPR and OOBE than AFDM in simulation while supporting a belief-propagation data receiver and an EM-assisted sensing receiver.