Fast Convergence Algorithm for Blind Channel Estimation and Equalization using CMF-DFE
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Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A novel fast blind equalizer is obtained by using the direct calculations from a channel matched filter decision feedback equalizer (CMF-DFE). The proposed technique converts the inverse convolution operations of an equalizer into a linear finite impulse response estimation filter, which is more suitable for blind training. A novel error function is introduced for blind training which enables the use of fast algorithms such as LMS or RLS. The required auto-regression values for the CMF-DFE equalizer are calculated from the incoming data. The resulting performance with LMS training is close to that of non-blind techniques.
Açıklama
81st IEEE Vehicular Technology Conference (VTC Spring) -- MAY 11-14 -- 2015 -- Univ Strathclyde -- Technol Innovat Ctr -- Glasgow -- SCOTLAND
Anahtar Kelimeler
Self-Recovering Equalization, Constant Modulus Algorithm, Tracking
Kaynak
2015 Ieee 81st Vehicular Technology Conference (Vtc Spring)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A