A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal
Multiple phase-shift keying (MPSK) is a common carrier modulation in underwater acoustic (UWA) communication. This paper proposes a robust blind demodulation algorithm to improve the performance and practicability of blind demodulation of MPSK signals under impulsive noise and UWA sparse multipath c...
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2021
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oai:doaj.org-article:7fd165aabbfa4efeb178c51a59fa63ab2021-11-18T00:05:12ZA Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal2169-353610.1109/ACCESS.2021.3124162https://doaj.org/article/7fd165aabbfa4efeb178c51a59fa63ab2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9592759/https://doaj.org/toc/2169-3536Multiple phase-shift keying (MPSK) is a common carrier modulation in underwater acoustic (UWA) communication. This paper proposes a robust blind demodulation algorithm to improve the performance and practicability of blind demodulation of MPSK signals under impulsive noise and UWA sparse multipath channels. The proposed algorithm adopts a <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula>/2-spaced blind equalizer based on quasi-affine projection, so it has strong adaptability to sparse UWA multipath channels. First, the received signal is preprocessed to suppress the impulsive interference, and the parameters are estimated. Then, timing synchronization is performed point by point based on sliding discrete Fourier transform (SDFT) to avoid equalizer performance degradation or even lock-loss caused by large clock frequency deviation and long-time error accumulation. Based on this, the over-sampling signal with two fixed sampling points per symbol is obtained. Meanwhile, following the idea of memory improved proportionate affine projection algorithm and normalized factor, the cost function of the blind equalizer is constructed by using the <inline-formula> <tex-math notation="LaTeX">$l_{0}$ </tex-math></inline-formula> norm penalty on the tap coefficients. In this way, the updating formula of the tap coefficients is derived, and the blind equalization is then conducted on the signal after timing synchronization to eliminate or weaken the channel influence. Finally, the residual frequency offset and phase offset of the carrier are removed through the M-power transform and the second-order decision feedback digital phase-locked loop. Simulation experiments and practical signal demodulation results indicate that the proposed algorithm achieves higher BER performance and modulation parameter robustness for impulsive noise and UWA multipath channel.Lulu WuBin WangYan HuangHaiwang WangQiang TangIEEEarticleImpulsive noiseunderwater acoustic communicationMPSKblind demodulationfractionally spacedsliding discrete Fourier transformElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147458-147470 (2021) |
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Impulsive noise underwater acoustic communication MPSK blind demodulation fractionally spaced sliding discrete Fourier transform Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Impulsive noise underwater acoustic communication MPSK blind demodulation fractionally spaced sliding discrete Fourier transform Electrical engineering. Electronics. Nuclear engineering TK1-9971 Lulu Wu Bin Wang Yan Huang Haiwang Wang Qiang Tang A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
description |
Multiple phase-shift keying (MPSK) is a common carrier modulation in underwater acoustic (UWA) communication. This paper proposes a robust blind demodulation algorithm to improve the performance and practicability of blind demodulation of MPSK signals under impulsive noise and UWA sparse multipath channels. The proposed algorithm adopts a <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula>/2-spaced blind equalizer based on quasi-affine projection, so it has strong adaptability to sparse UWA multipath channels. First, the received signal is preprocessed to suppress the impulsive interference, and the parameters are estimated. Then, timing synchronization is performed point by point based on sliding discrete Fourier transform (SDFT) to avoid equalizer performance degradation or even lock-loss caused by large clock frequency deviation and long-time error accumulation. Based on this, the over-sampling signal with two fixed sampling points per symbol is obtained. Meanwhile, following the idea of memory improved proportionate affine projection algorithm and normalized factor, the cost function of the blind equalizer is constructed by using the <inline-formula> <tex-math notation="LaTeX">$l_{0}$ </tex-math></inline-formula> norm penalty on the tap coefficients. In this way, the updating formula of the tap coefficients is derived, and the blind equalization is then conducted on the signal after timing synchronization to eliminate or weaken the channel influence. Finally, the residual frequency offset and phase offset of the carrier are removed through the M-power transform and the second-order decision feedback digital phase-locked loop. Simulation experiments and practical signal demodulation results indicate that the proposed algorithm achieves higher BER performance and modulation parameter robustness for impulsive noise and UWA multipath channel. |
format |
article |
author |
Lulu Wu Bin Wang Yan Huang Haiwang Wang Qiang Tang |
author_facet |
Lulu Wu Bin Wang Yan Huang Haiwang Wang Qiang Tang |
author_sort |
Lulu Wu |
title |
A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
title_short |
A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
title_full |
A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
title_fullStr |
A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
title_full_unstemmed |
A Blind Demodulation Algorithm for Underwater Acoustic MPSK Signal |
title_sort |
blind demodulation algorithm for underwater acoustic mpsk signal |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/7fd165aabbfa4efeb178c51a59fa63ab |
work_keys_str_mv |
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_version_ |
1718425232872570880 |