Matched Filtering-Based Channel Estimation for AFDM Systems in Doubly Selective Channels
Xiangjun Li, Zilong Liu, Zhengchun Zhou, and Pingzhi Fan

TL;DR
This paper introduces a low-complexity matched filtering-based channel estimation method for AFDM systems in doubly selective channels, improving efficiency and performance in 6G waveform applications.
Contribution
It proposes two novel low-complexity methods for channel matrix construction and a matched filtering scheme for parameter estimation in AFDM systems, reducing computational complexity significantly.
Findings
Complexity reduced by at least two orders of magnitude.
Proposed schemes outperform existing methods in simulation.
Enhanced communication performance demonstrated through extensive tests.
Abstract
Affine frequency division multiplexing (AFDM) has recently emerged as an excellent backward-compatible 6G waveform. In this paper, we study matched filtering (MF) assisted channel estimation (CE) for AFDM systems in complex doubly selective channels. By deriving the complete input-output relationship of the continuous-time signal, the inter-chirp-carrier interference, signal-to-interference-plus-noise ratio (SINR), and the effective SINR loss of AFDM, are investigated in discrete affine Fourier transform (DAFT) domain. Further, we propose two low-complexity methods for constructing the channel matrix by taking advantage of its inherent discrete Fourier transform structure and the staircase structure of the piecewise functions in the channel matrix, respectively. It is shown that complexity reduction by at least two orders of magnitude can be achieved for a large number of chirp…
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Taxonomy
TopicsPAPR reduction in OFDM · Advanced Wireless Communication Techniques · Advanced Photonic Communication Systems
