Autocorrelation-based algorithm for single-frequency estimation
Signal Processing
An estimation-range extended autocorrelation-based frequency estimator
EURASIP Journal on Advances in Signal Processing
An iterative algorithm for single-frequency estimation
IEEE Transactions on Signal Processing
Single tone parameter estimation from discrete-time observations
IEEE Transactions on Information Theory
Design and analysis of joint data detection and frequency/phase estimation algorithms
IEEE Journal on Selected Areas in Communications
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Sub-optimal algorithms that avoid the complexity of the maximum likelihood scheme for estimating a frequency offset have been developed based on samples of the estimated auto-correlation function. However, their computation burden is still heavy for near-optimal performance. To overcome this problem, this paper proposes a reduced-complexity algorithm of single-frequency estimation for a high-rate wireless personal area network application. Accuracy and robustness of our frequency estimator are statistically assessed by Monte Carlo simulations. The results indicate that the proposed complexity effective algorithm closely conforms to the Cramer-Rao bound.