A pilot-based fast algorithm for joint estimation of frequency offset and channel in OFDM
Signal Processing - Fractional calculus applications in signals and systems
Frequency estimation via multiple lags of correlations in the presence of broadband colored noise
Signal Processing - Special section: Distributed source coding
IEEE Transactions on Signal Processing
An estimation-range extended autocorrelation-based frequency estimator
EURASIP Journal on Advances in Signal Processing
Estimate Doppler shift and SNR in wireless propagations
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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As a complement to the periodogram, low-complexity frequency estimators are of interest. One such estimator is based on Prony's method and rely on phase information of the auto correlations. Without prior knowledge of the frequency (e.g., a given frequency interval), the frequency cannot be unambiguously estimated from a single correlation only. We introduce a new method of phase unwrapping using an arbitrary number (more than one) of correlations. From this arbitrary set of correlations, we propose a weighted average estimator. We derive the asymptotic performance and show how the correlation lags should be properly chosen. From a design aspect, there is often a restriction of using a fixed number of computations. In addition, we therefore propose a strategy to find a proper set of correlation lags subject to a given computational complexity. Finally, simulation results that lend support to the theoretical findings are included