Theme-Logo
  • Login
  • Home
  • Course
  • Publication
  • Theses
  • Reports
  • Published books
  • Workshops / Conferences
  • Supervised PhD
  • Supervised MSc
  • Supervised projects
  • Education
  • Language skills
  • Positions
  • Memberships and awards
  • Committees
  • Experience
  • Scientific activites
  • In links
  • Outgoinglinks
  • News
  • Gallery
publication name Carrier Frequency Offset (CFO) Estimation Methods, A Comparative Study
Authors Mohamed S. Abd Raboh, Hatem M. Zakaria, Abdel Aziz M. Al Bassiouni and Mahmoud M. El Bahy
year 2015
keywords Carrier Frequency Offset (CFO); Non-Data-Aided (NDA); Data-Aided (DA), Cyclic Prefix (CP) and training symbols; Mean Square Error (MSE).
journal 16th International Conference on Aerospace Sciences & Aviation Technology (ASAT-16)
volume Not Available
issue Not Available
pages 10
publisher Not Available
Local/International International
Paper Link Not Available
Full paper download
Supplementary materials Not Available
Abstract

Estimation of Carrier Frequency Offset (CFO) is the fundamental problem of OFDM systems. CFO can be estimated using either time domain or frequency domain methods. A comparative study among different methods of carrier frequency offset estimation in OFDM systems is presented. We consider two techniques in time domain, namely; the Cyclic Prefix (CP) method and the Training Sequence Method. In addition two techniques in frequency domain are considered, namely; Training Symbol method and Pilot Method. Mean square Error (MSE) is the comparison criteria used in the study. Simulation results show that the CFO estimation methods in frequency domain have better performance than CFO estimation methods in time domain, in terms of mean square error (MSE). It is shown that, the pilot tone method outperforms the cyclic prefix method by 7dB and the training sequence with two identical blocks by 10dB. The symbol based method outperforms the pilot tone method by approximately 2dB. The comparison results are considered at MSE of 10-4 and normalized CFO of 0.2

Benha University © 2023 Designed and developed by portal team - Benha University