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http://dx.doi.org/10.7840/kics.2016.41.9.1041

Fractionally Spaced Blind Equalization Using Singular Value Decomposition  

Kim, Geumbee (Department of Information and Communication, Inha University)
Lee, Jeongwon (Department of Information and Communication, Inha University)
Nam, Haewoon (Department of Electrical Engineering, Hanyang University)
Park, Daeyoung (Department of Information and Communication, Inha University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.9, 2016 , pp. 1041-1043 More about this Journal
Abstract
This letter proposes a new blind fractionally spaced equalization (FSE). The conventional linear program (LP) FSE reduces the degree of freedom (DOF) by abandoning many equalization filter taps, which causes severe performance degradations. We use singular value decomposition (SVD) to obtain the signal subspace and to fully utilize all samples for performance improvement. The proposed scheme has similar performance with the nuclear norm minimization and has as low complexity as the LP equalizer.
Keywords
blind fractionally spaced equalization; degree of freedom; rank minimization; singular value decomposition;
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  • Reference
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