Fractionally Spaced Blind Equalization Using Singular Value Decomposition
نویسندگان
چکیده
منابع مشابه
Blind fractionally-spaced equalization based on cyclostationarity
| Equalization for digital communications constitutes a very particular blind deconvolution problem in that the received signal is cyclostationary. Oversampling (OS) (w.r.t. the symbol rate) of the cyclostationary received signal leads to a stationary vector-valued signal (polyphase representation (PR)). OS also leads to a fractionally-spaced channel model and equalizer. In the PR, channel and ...
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*Supported through a Postdoctoral Research Fellowship awarded by the Royal Academy of Engineering of the UK. We approach the problem of blind identification and equalization (BIE) of single-user digital communication channels from the perspective of blind source separation (BSS). A new BSS-based BIE algorithm is proposed in this paper and is compared with a subspace method as well as a normaliz...
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Two different fractionally spaced extensions of the SubGradient based Blind equalization Algorithm (SGBA) are provided. The first one is the direct extension of the linearly constrained SGBA for the symbol spaced setting. The second extension is the weighted and the 2-norm constrained fractionally spaced SGBA (FS-SGBA) algorithm. It is proven that the latter algorithm is globally convergent to ...
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ژورنال
عنوان ژورنال: The Journal of Korean Institute of Communications and Information Sciences
سال: 2016
ISSN: 1226-4717
DOI: 10.7840/kics.2016.41.9.1041