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A new carrier frequency offset estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is an improvement of the Michele Morelli (M&M) algorithm. It also uses a training symbol which is divided into L>2 identical parts to estimate the carrier frequency offset, and the estimation range is ±L/2 the subcarrier spacing, but the performance of the proposed Maximum Likelihood (ML) algorithm is more robust and complex efficient than the M&M algorithm.
A new carrier frequency offset estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is an improvement of the Michele Morelli (M & M) algorithm. It also uses a training symbol which is divided into L> 2 identical parts to estimate the carrier frequency offset, and the estimation range is ± L / 2 the subcarrier spacing, but the performance of the proposed Maximum Likelihood (ML) algorithm is more robust and complex efficient than the M & M algorithm.