Fast Convergence Algorithm for Blind Channel Estimation and Equalization using CMF-DFE

KAYA İ., TUĞCU E., ÖZEN A., Nix A. R.

81st IEEE Vehicular Technology Conference (VTC Spring), Glasgow, Birleşik Krallık, 11 - 14 Mayıs 2015 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/vtcspring.2015.7145839
  • Basıldığı Şehir: Glasgow
  • Basıldığı Ülke: Birleşik Krallık
  • Karadeniz Teknik Üniversitesi Adresli: Evet

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.