Proportionate Kalman Filter for Model-Based Channel Tracking in Underwater Acoustic Communications

Wang, Yuxing; Cao, Hongli; Tao, Jun; Yang, Le; Qiao, Yongjie

doi:10.23919/oceans44145.2021.9705832

Cited by 3 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Mu,

Gao,

et al. 2023

IEEE Access

View full text Add to dashboard Cite

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.

show abstract

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

Mu,

Gao,

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

Outlier Robust Kalman Filter based Channel Tracking for Single-Carrier Underwater Acoustic Communications

Wang

Tao

et al. 2022

OCEANS 2022, Hampton Roads

View full text Add to dashboard Cite

A Multi-Task Learning Framework for Underwater Acoustic Channel Prediction: Performance Analysis on Real-World Data

Tian,

Raj,

Missi Xavier

et al. 2024

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Proportionate Kalman Filter for Model-Based Channel Tracking in Underwater Acoustic Communications

Cited by 3 publications

References 13 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

Outlier Robust Kalman Filter based Channel Tracking for Single-Carrier Underwater Acoustic Communications

A Multi-Task Learning Framework for Underwater Acoustic Channel Prediction: Performance Analysis on Real-World Data

Contact Info

Product

Resources

About