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Keywords = adaptive frame statistics (AFS)

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22 pages, 1793 KB  
Article
A Double-Threshold Channel Estimation Method Based on Adaptive Frame Statistics
by Canghai Song, Xiao Zhou, Chengyou Wang and Zhun Ye
Mathematics 2023, 11(15), 3342; https://doi.org/10.3390/math11153342 - 30 Jul 2023
Cited by 1 | Viewed by 2099
Abstract
Channel estimation is an important module to enhance the performance of orthogonal frequency division multiplexing (OFDM) systems. However, the presence of a large amount of noise in time-varying multipath fading channels significantly affects the channel estimation accuracy and thus the recovery quality of [...] Read more.
Channel estimation is an important module to enhance the performance of orthogonal frequency division multiplexing (OFDM) systems. However, the presence of a large amount of noise in time-varying multipath fading channels significantly affects the channel estimation accuracy and thus the recovery quality of the received signals. Therefore, this paper proposes a double-threshold (DT) channel estimation method based on adaptive frame statistics (AFS). The method first adaptively determines the number of statistical frames based on the temporal correlation of the received signals, and preliminarily detects the channel structure by analyzing the distribution characteristics of multipath sampling points and noise sampling points during adjacent frames. Subsequently, a multi-frame averaging technique is used to expand the distinction between multipath and noise sampling points. Finally, the DT is designed to better recover the channel based on the preliminary detection results. Simulation results show that the proposed adaptive frame statistics-double-threshold (AFS-DT) channel estimation method is effective and has better performance compared with many existing channel estimation methods. Full article
(This article belongs to the Section E1: Mathematics and Computer Science)
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