Low-complexity feedforward symbol timing estimator using conditional maximum-likelihood principle |
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Authors: | Yik-Chung Wu Serpedin E |
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Affiliation: | Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA; |
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Abstract: | A low complexity feedforward symbol-timing estimator based on the conditional maximum-likelihood principle is proposed. An approximation is applied to the Fourier series expansion of the conditional maximum-likelihood function such that implementation complexity is greatly reduced. It is shown that the proposed estimator can be viewed as a generalization of the well-known square nonlinearity estimator proposed by Oerder and Meyr in 1988. Simulation results show that the performance of the proposed estimator is very close to the conditional Cramer-Rao bound and is better than that of the square nonlinearity estimator. |
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