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Tprabian, O., Mahamedpour, K., Golestani, A., Ahmadian Yazdi, H. (2016). Blind Frequency Offset Estimation using Adaptive Algorithms in Non-Coherent OFDM Systems. Electronic and Cyber Defense, 3(4), 61-70.
Omid Tprabian; Kamal Mahamedpour; Ali Golestani; Hamed Ahmadian Yazdi. "Blind Frequency Offset Estimation using Adaptive Algorithms in Non-Coherent OFDM Systems". Electronic and Cyber Defense, 3, 4, 2016, 61-70.
Tprabian, O., Mahamedpour, K., Golestani, A., Ahmadian Yazdi, H. (2016). 'Blind Frequency Offset Estimation using Adaptive Algorithms in Non-Coherent OFDM Systems', Electronic and Cyber Defense, 3(4), pp. 61-70.
Tprabian, O., Mahamedpour, K., Golestani, A., Ahmadian Yazdi, H. Blind Frequency Offset Estimation using Adaptive Algorithms in Non-Coherent OFDM Systems. Electronic and Cyber Defense, 2016; 3(4): 61-70.

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

پدافند الکترونیکی و سایبری
Article 5, Volume 3, Issue 4, April 2020, Pages 61-70    PDF (1.01 M)
Authors
Omid Tprabian* 1; Kamal Mahamedpour2; Ali Golestani3; Hamed Ahmadian Yazdi4
1Master's degree, Faculty of Electrical and Computer Engineering, Khwaja Nasiruddin Toosi University of Technology, Tehran, Iran
2Professor, Faculty of Electrical and Computer Engineering, Khajeh Nasiruddin Toosi University of Technology, Tehran, Iran
3Master's degree, Imam Hossein University (AS), Tehran, Iran
4PhD student, Imam Hossein University (AS), Tehran, Iran
Receive Date: 26 August 2015,  Revise Date: 21 June 2023,  Accept Date: 19 September 2018 
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
OFDM; Frequency Offset; Adaptive Algorithm; Cyclic Prefix; Frequency-Selective Multipath Channel; Mean Squared Error
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