Iterative channel estimation techniques for uplink MC-CDMA systems

Dogan H., PANAYIRCI E., Çırpan H. A.

7th IEEE International Symposium on Signal Processing and Information Technology, Cairo, Egypt, 15 - 18 December 2007, pp.715-716 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/isspit.2007.4458126
  • City: Cairo
  • Country: Egypt
  • Page Numbers: pp.715-716
  • Istanbul University Affiliated: Yes


In this work, maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- and a space-alternating generalized expectation-maximization (SAGE) algorithm are introduced to avoid matrix inversion for the ML channel estimation problem. We compare the both algorithms in terms of the number of used iteration and show that the proposed algorithms converge the same performance of the ML estimator as the increasing number of iterations.