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New Iterative Method for Estimation of Carrier Frequency in Multicarrier Systems
Author(s) -
Ramadhan Masmoudi
Publication year - 2019
Publication title -
algerian journal of renewable energy and sustainable development
Language(s) - English
Resource type - Journals
ISSN - 2710-849X
DOI - 10.46657/ajresd.2019.1.1.3
Subject(s) - carrier frequency offset , orthogonal frequency division multiplexing , subspace topology , computer science , estimator , computational complexity theory , algorithm , frequency offset , discrete fourier transform (general) , key (lock) , taylor series , fourier transform , mathematics , artificial intelligence , short time fourier transform , fourier analysis , statistics , mathematical analysis , computer security
The key problem for OFDM (Orthogonal Frequency Division Multiple) systems is who to Estimate carrier frequency offset (CFO) with reduced complexity and acceptable performance. The CFO must be compensated before DFT (Discrete Fourier Transform) in order to restore data correctlyand enhance the system performance. This paper, present a low complexity estimator of CFO with Semi-Blind (SB) criterion based on pilot tones and on virtual subcarriers, and with the aid of subspace based method. However, MUSIC and ESPRIT based semi-blind algorithms require a highly computational complexity. To overcome this drawback, we use Taylor’s series for the first order as developed in [1].The present methods developed in this paper are very suitable for Multi- Carrier (MC) systems when the CFO are present. Simulation results demonstrated that the semi-blind (SB) approach outperforms the blind-based approach.

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