A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/11/8/997 |
| _version_ | 1798035358544297984 |
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| author | Mingtong Zhang Xiao Zhou Chengyou Wang |
| author_facet | Mingtong Zhang Xiao Zhou Chengyou Wang |
| author_sort | Mingtong Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T20:57:06Z |
| format | Article |
| id | doaj.art-0dd20d6868d94bafadde7c0016c22226 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T20:57:06Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-0dd20d6868d94bafadde7c0016c222262022-12-22T04:03:38ZengMDPI AGSymmetry2073-89942019-08-0111899710.3390/sym11080997sym11080997A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM SystemsMingtong Zhang0Xiao Zhou1Chengyou Wang2School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, ChinaOrthogonal 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.https://www.mdpi.com/2073-8994/11/8/997channel estimationorthogonal frequency division multiplexing (OFDM)adaptive weighted averaging (AWA)adaptive unweighted averaging (AUA)noise suppression |
| spellingShingle | Mingtong Zhang Xiao Zhou Chengyou Wang A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems Symmetry channel estimation orthogonal frequency division multiplexing (OFDM) adaptive weighted averaging (AWA) adaptive unweighted averaging (AUA) noise suppression |
| title | A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems |
| title_full | A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems |
| title_fullStr | A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems |
| title_full_unstemmed | A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems |
| title_short | A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems |
| title_sort | novel noise suppression channel estimation method based on adaptive weighted averaging for ofdm systems |
| topic | channel estimation orthogonal frequency division multiplexing (OFDM) adaptive weighted averaging (AWA) adaptive unweighted averaging (AUA) noise suppression |
| url | https://www.mdpi.com/2073-8994/11/8/997 |
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