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, United Kingdom, 11 - 14 May 2015 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/vtcspring.2015.7145839
  • City: Glasgow
  • Country: United Kingdom
  • Karadeniz Technical University Affiliated: Yes

Abstract

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.