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An accurate estimation algorithm of frequency and phase at low signal-noise ratio levels

Wireless Communications and Signal Processing(2010)

Cited 3|Views8
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Abstract
A new accurate estimation algorithm of frequency and phase suited for low signal-noise ratio (SNR) environment is proposed here. Coarse estimation of frequency and phase is acquired from the peak frequency of the received signal. New interpolation technique and modified formula are made to get fine and unbiased estimation. Simulations indicate that, accurate results close to the Cramer-Rao bound (CRB) within a wide frequency offset range are achieved by using this algorithm.
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Key words
frequency estimation,interpolation,phase estimation,signal processing,Cramer-Rao bound,SNR environment,estimation algorithm,frequency estimation,frequency offset range,interpolation,peak frequency,phase estimation,received signal,signal-noise ratio,accurate,frequency estimation,interpolation,low SNR,phase estimation,
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