Low complexity equalization for AFDM in doubly dispersive channels

Bemani, Ali; Ksairi, Nassar; Kountouris, Marios
ICASSP 2022, IEEE International Conference on Acoustics, Speech and Signal Processing, 22-27 May 2022, Singapore, Singapore

Affine Frequency Division Multiplexing (AFDM), which is based on discrete affine Fourier transform (DAFT), has recently been proposed for reliable communication in highmobility scenarios. Two low complexity detectors for AFDM are introduced here. Approximating the channel matrix as a band matrix via placing null symbols in the AFDM frame in the DAFT domain, a low complexity MMSE detection is proposed by means of the LDL factorization. Furthermore, exploiting the sparsity of the channel matrix, we propose a low complexity iterative decision feedback equalizer (DFE) based on weighted maximal ratio combining (MRC), which extracts and combines the received multipath components of the transmitted symbols in the DAFT domain. Simulation results show that the proposed detectors have similar performance, while weighted MRC-based DFE has lower complexity than band-matrix-approximation LMMSE when the channel impulse response has gaps.

DOI
Type:
Conférence
City:
Singapore
Date:
2022-05-22
Department:
Systèmes de Communication
Eurecom Ref:
6821
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/6821