Advanced signal processing algorithms for wireless communications

Panayirci E., Cirpan H. A.

International Symposium on Complex Computing-Networks, İstanbul, Turkey, 13 - 14 June 2005, vol.104, pp.333-334 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 104
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.333-334


Traditional wireless technologies are not well suited to meet the extremely demanding requirements of providing the very high data rates with the ubiquity, mobility and portability characteristic of cellular systems. Some fundamental barriers, related to the nature of the radio channel as well as the limited bandwidth availability at the frequencies of interest, stand in the way. Unique sets of efficient advanced signal processing algorithms and techniques is the one of the primary enablers that will allow lifting these limits, primarily due to the impressive advent of low cost and low power digital signal processors. As an application of advanced signal processing techniques, we will consider the solution of blind phase noise estimation and data detection problem via a computationally efficient sequential Monte Carlo (SMC) methodology in this paper.