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

Cilt

Sayı

Künye