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Blind iterative frequency offset estimator for orthogonal frequency division multiplexing systems

Blind iterative frequency offset estimator for orthogonal frequency division multiplexing systems

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© The Institution of Engineering and Technology
Published

This study presents an iterative carrier frequency offset estimator for orthogonal frequency division multiplexing (OFDM) systems. The proposed estimator is based on the efficient Viterbi-and-Viterbi (VAV) algorithm. The proposed estimator is blind and can be used with non-constant modulus subcarrier modulations such as quadrature amplitude modulation (QAM). The performance of the proposed estimator is assessed theoretically and via Monte Carlo simulations over various channel models and compared to the performance of other well established blind techniques in addition to the Cramèr–Rao lower bound. The comparison results demonstrate that the proposed estimator outperforms other well-established blind estimators by more than 12 dB at moderate and high signal-to-noise ratios (SNRs).

Inspec keywords: OFDM modulation; quadrature amplitude modulation; Monte Carlo methods; frequency estimation; iterative methods

Other keywords: quadrature amplitude modulation; iterative carrier frequency offset estimator; non-constant modulus subcarrier modulation; Cramer Rao lower bound; Viterbi-and-Viterbi algorithm; orthogonal frequency division multiplexing systems; Monte Carlo simulations; blind iterative frequency offset estimator

Subjects: Communication switching; Interpolation and function approximation (numerical analysis); Monte Carlo methods

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