VAMP based Frequency-Domain Turbo Equalization for MIMO Horizontal Underwater Acoustic Communications

Zhang, Xinrui; Tao, Jun; Liu, Dong; Wu, Yanbo; Chen, Wenxuan; Chen, Yougan

doi:10.1109/oceanschennai45887.2022.9775461

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Traditional channel estimation algorithms include the least-square (LS) [10], maximum likelihood estimation (ML) [11], minimum mean square error (MMSE) [12], Kalman filtering [5], [13]- [15], etc. These algorithms usually rely on the prior information of the channel.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing

Mu,

Gao,

et al. 2023

IEEE Access

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In underwater acoustic (UWA) communication systems, inter-carrier interference (ICI) caused by the Doppler effect has significant negative impacts on system performance. To address this issue, this paper introduces a delay-Doppler spread function (DDSF) to account for the effect of ICI and proposes a new compressed sensing (CS) algorithm to estimate channels. Typically, proper termination of the iterative process is a major challenge when applying the orthogonal matching pursuit (OMP) algorithms in channel estimation, while other CS algorithms in the paper have high requirements in terms of complexity and system power consumption. To overcome these limitations, a sparse channel estimation algorithm with an adaptive sparse decision threshold is proposed. Given certain signal-to-noise ratio (SNR) conditions, the proposed algorithm achieves comparable estimation accuracy to OMP with much lower computational cost. Simulation results demonstrate that the proposed algorithm can achieve similar estimation accuracy to OMP at lower computational cost with high SNRs. In conclusion, this paper presents a novel approach to address ICI in UWA communication systems and offers a more efficient algorithm for channel estimation. The results are significant for improving the performance of underwater communication systems and have potential applications in various underwater communication scenarios.

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Section: Introductionmentioning

confidence: 99%

An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing

Mu,

Gao,

et al. 2023

IEEE Access

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Expectation-maximization vector approximate message passing-based frequency-domain turbo equalization for underwater acoustic communications

Zhang,

Tao,

et al. 2023

The Journal of the Acoustical Society of America

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Channel equalization plays a crucial role in single-carrier underwater acoustic (UWA) communications. Recently, a frequency-domain turbo equalization (FDTE) scheme enabled by the vector approximate message passing (VAMP) algorithm, was proposed, and it outperformed classic linear minimum mean square error FDTE at acceptable complexity cost. The operation of the VAMP-FDTE requires knowledge of noise power, which is predetermined before the equalization starts. In practice, however, it is difficult to obtain prior knowledge of noise power due to factors of unknown channel estimation errors and dynamic underwater environments. Motivated by this fact, we propose an enhanced VAMP-FDTE scheme, which learns the noise power knowledge during the equalization process via the expectation-maximization (EM) algorithm. The EM-based noise power estimation makes use of intermediate results of the VAMP-FDTE and, thus, only incurs a small extra computational overhead. The improved VAMP-FDTE, named EM-VAMP-FDTE, was tested by experimental data collected in shallow-sea horizontal UWA communication trials with MIMO configuration. It showed better performance than the existing VAMP-FDTE scheme, attributed to the online noise power learning.

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VAMP-Inspired Self-Iterative Adaptive Equalization for MIMO Underwater Acoustic Communications

Li,

Cui,

Tao

et al. 2023

Proceedings of the 17th International Conference on Underwater Networks &Amp; Systems

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VAMP based Frequency-Domain Turbo Equalization for MIMO Horizontal Underwater Acoustic Communications

Cited by 3 publications

References 19 publications

An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing

An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing

Expectation-maximization vector approximate message passing-based frequency-domain turbo equalization for underwater acoustic communications

VAMP-Inspired Self-Iterative Adaptive Equalization for MIMO Underwater Acoustic Communications

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