Blind Frequency Offset Estimation using Adaptive Algorithms in Non-Coherent OFDM Systems

Authors

1 Master's degree, Faculty of Electrical and Computer Engineering, Khwaja Nasiruddin Toosi University of Technology, Tehran, Iran

2 Professor, Faculty of Electrical and Computer Engineering, Khajeh Nasiruddin Toosi University of Technology, Tehran, Iran

3 Master's degree, Imam Hossein University (AS), Tehran, Iran

4 PhD student, Imam Hossein University (AS), Tehran, Iran

Abstract

With the growing development of wireless communications systems, the use of systems with high data
rates has arrested attention that can be noted to OFDM systems among these systems. The important
features of this system are efficient usage of bandwidth and resistance to errors caused by the multipath
propagation environment. OFDM systems have a high sensitivity to frequency offset. Due to the importance
of signal eavesdropping in the cyber defence, in order to compensate frequency offset, it is necessary to use
blind frequency estimation methods based on the inherent structure of the system and without the use of
pilot symbols. Accordingly, in this paper, a blind frequency offset estimation algorithm based on cyclic
prefix (CP) by using adaptive algorithms is presented that is closed to the optimum frequency offset during
a step by step algorithm. In the proposed method, the Normalized Least Mean Square (NLMS) and
Recursive least squares (RLS) adaptive algorithms are used to provide a method for estimating the
frequency offset. The main feature of the new presented method is the ability to estimating the frequency
offset in the presence of the time offset and in multipath channel with frequency-selective fading. According
to the simulations results that are performed in the frequency-selective fading channel, MSE criterion in the
NLMS proposed method about 3 dB and in the RLS proposed method approximately 7 dB has improved
compared to other methods.

Keywords

References

[1] R. Van, and R. Prasad, “OFDM for Wireless
Multimedia Communication,” Artech House
Publisher, London, pp. 1-51, 2000.
[2] N. Lasorte, W. J. Barnes, and H. H. Refai, “The
History of Orthogonal Frequency Division
Multiplexig,” In Proc. IEEE Global Commun. Conf.
(GLOBECOM), pp. 1-5. 2008.
[3] B. Ai, et. al., “On the Synchronization Techniaues
for Wireless OFDM Systems,” IEEE Trans. on Broad
casting, vol. 52, no.2, pp. 236-244, 2006.
[4] B. Ai, et. al., “Carrier Frequency Recovery
Technique in OFDM Systems,” Springer. on
Wireless Personal Communication, vol. 32, no. 2, pp.
177-188, 2005.
[5] L. Dai, et. al., “Joint Time-Frequency Channel
Estimation for Time Domain Synchronous OFDM
Systems,” IEEE Trans. on Broadcasting, vol. 59, no.
1, pp. 168-173, 2013.
[6] J. J. Van De Beek, M. Sandell, and P. O. Borjesson,
“ML Estimation of Time and Freauency Offset in
OFDM Systems,” IEEE Trans. on Signal Process.,
vol. 45, no. 7, pp. 1800-1805, 1997.
[7] J. J. Van De Beek, “Synchronization and Channel
Estimation in OFDM Systems,” Ph.D. Dissertation,
Lulea University of Technology, Division of Signal
Processing, Sweden, 1998.
[8] N. Lashkarian, and S. Kiaei, “Class of Cyclic-Based
Estimators for Frequency-Offset Estimation of
OFDM Systems,” IEEE Trans. on Commun., vol. 48,
no. 12, pp. 2139-2149, 2000.
[9] N. Lashkarian and S. Kiaei, “Minimum Variance
Unbiased Estimation of Frequency Offset in OFDM
Systems, a Blind Synchronization Approach,” In
Proc. IEEE ICASSP, vol. 5, pp. 2945-2948, 2000.
[10] S. L. Talbot, B. Farhang-Boroujeny, “Spectral
Method of Blind Carrier Tracking for OFDM,” IEEE
Trans. on Signal Process, vol. 56, no. 7,
pp. 2706-2717, 2008.
[11] S. Sud, “Joint Time Delay and Carrier Frequency
Offset Estimation for Near Equal Power Co-channel
OFDM Signals using Low Rank Adaptive Filters,”
In Proc., IEEE Southeast Con., 13-16 Mar., pp. 1-5,
2014.
[12] H. Roh and K. Cheun, “Non-Data-Aided Spectral
Line Method for Fine Carrier Frequency
Synchronization in OFDM Receivers,” KICS Journal
of Commun. and Networks, vol. 6, no. 2,
pp. 112-122, 2004.
[13] S. Haykin, “Adaptive Filter Theory,” fourth edition,
Prentice-Hall, pp. 50-300, 2002.
[14] B. Farhang-Boroujeny, “Adaptive Filters: Theory
and Applications,” first edition, New York, USA,
Wiley, pp. 119-439, 1999.
[15] P. S. R. Diniz, “Adaptive Filtering Algorithms and
Practical Implementation,” Springer, pp. 77-227,
2008.
[16] T. Zhang, C. Wang, and X. Li, “Frequency Offset
and Channel Estimation in OFDM Systems by Blind
Adaptive Filter,” in Proc. Global Mobile Congress
(GMC), pp. 1-5, 18-19 Oct. 2010.

Files

History

  • Receive Date: 26 August 2015
  • Revise Date: 21 June 2023
  • Accept Date: 19 September 2018
  • Publish Date: 20 February 2016

Share

How to cite

Statistics