Sparse channel estimation for filtered multi‐tone in time domain and subband domain based on matched filtering demodulation Article Swipe
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· 2019
· Open Access
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· DOI: https://doi.org/10.1049/iet-com.2018.5931
The interference between filtered multi‐tone (FMT) symbols exists and becomes conspicuous especially in frequency selective fading channel, like an underwater acoustic channel. This leads to the necessity of channel estimation and equalisation. In this study, the authors consider two approaches to utilise the channel sparsity to improve FMT channel estimation performance and further reduce bit error rate in underwater acoustic communications. While the first studies FMT sparse channel estimation in the time domain and is based on received FMT signal and known transmitted FMT signal that is reconstructed by pilots, the second is based on matched filtering demodulated FMT symbols and pilots. Theoretical analysis is performed followed by simulation and experiment accordingly. It is found that the first method is able to successfully estimate the sparse channel while the estimation performance of the second method is unsatisfactory due to poor orthogonality between bases of the channel estimation matrix. Moreover, the lake experiment is carried out with the first method and its results prove that sparse channel estimation has better performance than least square channel estimation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/iet-com.2018.5931
- https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2018.5931
- OA Status
- bronze
- Cited By
- 1
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2964338665
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2964338665Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/iet-com.2018.5931Digital Object Identifier
- Title
-
Sparse channel estimation for filtered multi‐tone in time domain and subband domain based on matched filtering demodulationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-19Full publication date if available
- Authors
-
Fengzhong Qu, Minhao Zhang, Zhenduo Wang, Caijie Qian, Xuesong Lu, Yan WeiList of authors in order
- Landing page
-
https://doi.org/10.1049/iet-com.2018.5931Publisher landing page
- PDF URL
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https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2018.5931Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2018.5931Direct OA link when available
- Concepts
-
Demodulation, Tone (literature), Computer science, Time domain, Channel (broadcasting), Domain (mathematical analysis), Estimation, Speech recognition, Matched filter, Frequency domain, Algorithm, Mathematics, Telecommunications, Detector, Computer vision, Management, Literature, Art, Mathematical analysis, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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