FrFT equalization for underwater sweep-spread communication system
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Fractional Fourier equalization provides a low-complexity solution to deep fading points in the channel.
“Fractional Fourier equalization provides a low-complexity solution to the aforementioned issues, effectively addressing the challenge of deep fading points in the channel.”
From A Fractional Fourier Transform-Based Channel Estimation and Equalization Algorithm for Mud Pulse Telemetry (2025) · cites this paper as [25]
Fractional Fourier equalization resolves the trade-off between noise power control and ISI.
“This technique resolves the trade-off between noise power control and ISI, offering a computationally simple and easily implementable solution [25].”
From A Fractional Fourier Transform-Based Channel Estimation and Equalization Algorithm for Mud Pulse Telemetry (2025) · cites this paper as [25]
Fractional Fourier equalization avoids the need for recursive operations, making it faster in many cases.
“It avoids the need for recursive operations, making it faster in many cases.”
From A Fractional Fourier Transform-Based Channel Estimation and Equalization Algorithm for Mud Pulse Telemetry (2025) · cites this paper as [25]
Cites
Digital computation of the fractional Fourier transform
Ozaktas, H. M., Arikan, O., Kutay, M. A., & Bozdagt, G. (1996) · IEEE Transactions on Signal Processing · doi:10.1109/78.536672 · Cited by 1,187 · see citing works
The discrete fractional Fourier transform
Candan, C., Kutay, M. A., & Ozaktas, H. M. (2000) · IEEE Transactions on Signal Processing · doi:10.1109/78.839980 · Cited by 683 · see citing works
2015 IEEE Global Communications Conference (GLOBECOM)
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2012 5th International Congress on Image and Signal Processing
(2012) · doi:10.1109/cisp20190.2012 · Cited by 164 · see citing works
Adaptive Linear Turbo Equalization Over Doubly Selective Channels
Choi, J. W., Riedl, T., Kim, K., et al. (2011) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2011.2158013 · Cited by 112 · see citing works
Кебкал, К. Г., & Bannasch, R. (2002) · The Journal of the Acoustical Society of America · doi:10.1121/1.1504855 · Cited by 109 · see citing works
A journey toward modeling and resolving doppler in underwater acoustic communications
Qu, F., Wang, Z., Yang, L., et al. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7402260 · Cited by 104 · see citing works
Zhao, Y., Yu, H. X., Wei, G., Ji, F., & Chen, F. (2016) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2582466 · Cited by 104 · see citing works
Frequency Domain Decision Feedback Equalization for Uplink SC-FDMA
Zhang, C., Wang, Z., Yang, Z., et al. (2010) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2010.2046972 · Cited by 51 · see citing works
2016 IEEE/OES China Ocean Acoustics (COA)
(2016) · doi:10.1109/coa37978.2016 · Cited by 29 · see citing works
An Efficient Receiver Structure for Sweep-Spread-Carrier Underwater Acoustic Links
Marchetti, L., & Reggiannini, R. (2015) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2015.2445251 · Cited by 27 · see citing works
2015 IEEE Underwater Technology (UT)
(2015) · doi:10.1109/ut34494.2015 · Cited by 24 · see citing works
Fang, K., Rugini, L., & Leus, G. J. T. (2010) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2010/974652 · Cited by 17 · see citing works
Wang, K., Sha, X., & Li, Y. (2013) · IEEE Communications Letters · doi:10.1109/lcomm.2013.070913.130744 · Cited by 12 · see citing works
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Discrete FRFT-Based Frame and Frequency Synchronization for Coherent Optical Systems
Omomukuyo, O., Zhang, S., Dobre, O. A., et al. (2017) · IEEE Photonics Technology Letters · doi:10.1109/lpt.2017.2759584 · Cited by 5 · see citing works
Synchronization using chirp training sequences based on Fractional Fourier Transform
Tang, X., & Sha, X. (2010) · International Symposium on Systems and Control in Aeronautics and Astronautics · doi:10.1109/isscaa.2010.5633155 · Cited by 3 · see citing works
Low Complexity Turbo-Equalization: A Clustering Approach
Kim, K., Choi, J. W., Kozat, S. S., et al. (2014) · IEEE Communications Letters · doi:10.1109/lcomm.2014.2316172 · Cited by 2 · see citing works
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Zhang, J., Sha, Z., Wan, L., Su, Y., Zhu, J., & Qu, F. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13081468 · Cited by 2 · see citing works
- Authors
- Pan, C., Jia, Z., & Yuan, F.
- Affiliations
- Xiamen University (CN)
- Corresponding author
- Yuan, Fei
- Venue
- Applied Acoustics
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 214
- Pages
- 109671
- ISSN
- 0003-682X (ISSN-L)
- OpenAlex
- W4387721264
- Cited by
- 4
- References
- 29
- Citations by year
- 2026: 3 · 2025: 1
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Applied Acoustics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Techniques
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Underwater Acoustics Research
- Keywords
- fractional Fourier transform, channel equalization, underwater acoustic communication, Doppler shift, multipath propagation, intersymbol interference, zero-forcing, Mini-Mental State Examination, doubly dispersive channels
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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