author = {T. Petermann and D. Boss and K.-D. Kammeyer},
  year = {1999},
  month = {Dec},
  title = {Blind Channel Estimation Under Channel Coding Conditions},
  URL = {http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=6713},
  address={Phoenix, Arizona, USA},
  abstract={As a fundamental component of the Global System for Mobile communications (GSM), channel coding aims at improving speech and data transmission quality when the signal encounters disturbances. In this paper, we put the main emphasis on investigating the application of blind channel estimation approaches based on Second Order Statistics (SOS) and/or Higher Order Statistics (HOS) to the identification of a full rate data Traffic CHannel (TCH/F9.6). Giving the bit error rates (BERs) after equalization and channel decoding in terms of the Eb/N0 ratio, we show that there are blind channel estimation algorithms which are almost as efficient as non-blind methods even if the disturbance is non-Gaussian.},
  booktitle={IEEE Conference on Decision and Control (CDC 99)}