Abstract
Affine frequency division multiplexing (AFDM) is a new technology that uses discrete affine Fourier transform (DAFT) for multicarrier modulation. It aims to address the issue of unreliable communication in high-speed mobile scenarios. In this paper, we introduce two signal detection algorithms for AFDM that are low complexity. The first algorithm is a message passing (MP) detection algorithm that handles joint interference cancellation and detection by utilizing the inherent sparsity of the channel. The second algorithm is a matched filtering-based message passing (MF-MP) algorithm that utilizes the sparsity of the effective channel matrix of matched filtering. Simulation results show that the performance of the two detection algorithms is superior to that of the minimum mean square error (MMSE) algorithm and the maximum ratio combination (MRC) algorithm.
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