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

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3 Author(s)
Zhan Ye ; Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China ; Guangfei Xu ; Daoxing Guo

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.

Published in:

Wireless Communications and Signal Processing (WCSP), 2010 International Conference on

Date of Conference:

21-23 Oct. 2010

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