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Content Provider | IET Digital Library |
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Author | Bai, Jin Liang Jiang, Zhi Ye Wang, Feng Zhou, Yi Sun, Heng |
Abstract | Fractionally spaced super-exponential (FSSE) algorithm has the disadvantage of computational complexity since it exploits high-order statistics explicitly. The authors propose a dimension degradation technique for FSSE when it is applied to the equalisation of a sparse channel in accordance with the relationship between the coefficients of the cross fourth-order cumulant (CFOC) in FSSE and the channel impulse response. They implement partial updating on the prominent coefficients of the CFOC with all the small coefficients remaining unchanged. The computational complexity of the modified FSSE reduces significantly with an acceptable performance loss, and its performance is validated via numerical simulations. |
Starting Page | 7822 |
Ending Page | 7826 |
Page Count | 5 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 21, Nov (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0794 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-08-13 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Blind Equalisers CFOC Channel Estimation Channel Impulse Response Communication Channel Equalisation And Identification Computational Complexity Cross Fourth-order Cumulant Dimension Degradation Technique Equaliser Fractionally High-order Statistics Higher Order Statistics Modified FSSE Prominent Coefficient Radio Link And Equipment Sparse Channel Equalisation Statistics Super-exponential Algorithm Transient Response |
Content Type | Text |
Resource Type | Article |
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