GI-Free Pilot-Aided Channel Estimation for Affine Frequency Division Multiplexing Systems
Yu Zhou, Haoran Yin, Nanhao Zhou, Yanqun Tang, Xiaoying Zhang, and, Weijie Yuan

TL;DR
This paper introduces a GI-free pilot-aided channel estimation method for AFDM systems that enhances spectral efficiency by jointly canceling interference and estimating channels without guard intervals, achieving near-ideal BER performance.
Contribution
It proposes a novel GI-free channel estimation algorithm for AFDM that jointly performs interference cancellation and channel estimation, improving spectral efficiency.
Findings
BER performance approaches the ideal case
Spectral efficiency is significantly improved
Joint interference cancellation enhances estimation accuracy
Abstract
The recently developed affine frequency division multiplexing (AFDM) can achieve full diversity in doubly selective channels, providing a comprehensive sparse representation of the delay-Doppler domain channel. Thus, accurate channel estimation is feasible by using just one pilot symbol. However, traditional AFDM channel estimation schemes necessitate the use of guard intervals (GI) to mitigate data-pilot interference, leading to spectral efficiency degradation. In this paper, we propose a GI-free pilot-aided channel estimation algorithm for AFDM systems, which improves spectral efficiency significantly. To mitigate the interference between the pilot and data symbols caused by the absence of GI, we perform joint interference cancellation, channel estimation, and signal detection iterately. Simulation results show that the bit error rate (BER) performance of the proposed method can…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced Adaptive Filtering Techniques · Wireless Communication Networks Research
