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A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems

School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China
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Symmetry 2019, 11(8), 997; https://doi.org/10.3390/sym11080997
Received: 4 July 2019 / Revised: 26 July 2019 / Accepted: 30 July 2019 / Published: 3 August 2019
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Abstract

Orthogonal frequency division multiplexing (OFDM) systems have inherent symmetric properties, such as coding and decoding, constellation mapping and demapping, inverse fast Fourier transform (IFFT) and fast Fourier transform (FFT) operations corresponding to multi-carrier modulation and demodulation, and channel estimation is a necessary module to resist channel fading in the OFDM system. However, the noise in the channel will significantly affect the accuracy of channel estimation, which further affects the recovery quality of the final received signals. Therefore, this paper proposes an efficient noise suppression channel estimation method for OFDM systems based on adaptive weighted averaging. The basic idea of the proposed method is averaging the last few channel coefficients obtained from coarse estimation to suppress the noise effect, while the average frame number is adaptively adjusted by combining Doppler spread and signal-to-noise ratio (SNR) information. Meanwhile, to better combat the negative effect brought by Doppler spread and inter-carrier interference (ICI), the proposed method introduces a weighting factor to correct the weighted value of each frame in the averaging process. Simulation results show that the proposed channel estimation method is effective and provides better performance compared with other conventional channel estimation methods. View Full-Text
Keywords: channel estimation; orthogonal frequency division multiplexing (OFDM); adaptive weighted averaging (AWA); adaptive unweighted averaging (AUA); noise suppression channel estimation; orthogonal frequency division multiplexing (OFDM); adaptive weighted averaging (AWA); adaptive unweighted averaging (AUA); noise suppression
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhang, M.; Zhou, X.; Wang, C. A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems. Symmetry 2019, 11, 997.

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