An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10271363/ |
| _version_ | 1797661508567564288 |
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| author | Shaopeng Mu Wengen Gao Yunfei Li Ling Jiang Mengxing Pan Hanwen Xu |
| author_facet | Shaopeng Mu Wengen Gao Yunfei Li Ling Jiang Mengxing Pan Hanwen Xu |
| author_sort | Shaopeng Mu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T18:45:35Z |
| format | Article |
| id | doaj.art-53ef4d2921384b46bdbb7467aa1a8234 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T18:45:35Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-53ef4d2921384b46bdbb7467aa1a82342023-10-11T23:00:20ZengIEEEIEEE Access2169-35362023-01-011110913110914110.1109/ACCESS.2023.332170210271363An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed SensingShaopeng Mu0https://orcid.org/0009-0001-2297-1559Wengen Gao1https://orcid.org/0000-0002-2679-4641Yunfei Li2https://orcid.org/0000-0003-0234-6251Ling Jiang3Mengxing Pan4Hanwen Xu5School of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaIn 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.https://ieeexplore.ieee.org/document/10271363/Underwater acoustic communicationdelayed-Doppler spreading function (DDSF)adaptive algorithmiteration termination condition |
| spellingShingle | Shaopeng Mu Wengen Gao Yunfei Li Ling Jiang Mengxing Pan Hanwen Xu An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing IEEE Access Underwater acoustic communication delayed-Doppler spreading function (DDSF) adaptive algorithm iteration termination condition |
| title | An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing |
| title_full | An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing |
| title_fullStr | An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing |
| title_full_unstemmed | An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing |
| title_short | An Adaptive MP Algorithm for Underwater Acoustic Channel Estimation Based on Compressed Sensing |
| title_sort | adaptive mp algorithm for underwater acoustic channel estimation based on compressed sensing |
| topic | Underwater acoustic communication delayed-Doppler spreading function (DDSF) adaptive algorithm iteration termination condition |
| url | https://ieeexplore.ieee.org/document/10271363/ |
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