TY - GEN
T1 - Error floor elimination for DFT-based frequency estimators
AU - Fang, Luoyang
AU - Duan, Dongliang
AU - Yang, Liuqing
AU - Scharf, Louis
PY - 2013
Y1 - 2013
N2 - Frequency estimation for a single-tone complex exponential signal is a classical and fundamental problem in many applications, such as communications, radar, and power. Most DFT-based frequency estimators reported in the literature exhibit an error floor at high SNR, due to their use of approximations to nonlinear equations. This effect is pronounced for short observation windows. In this paper, we propose two simple nonlinear equation solvers for eliminating this error floor. Simulations confirm the effectiveness of this proposed approach. We add to the literature of DFT-based estimators by proposing a frequency estimator for the case where a measured sequence is zero-padded by a factor of two.
AB - Frequency estimation for a single-tone complex exponential signal is a classical and fundamental problem in many applications, such as communications, radar, and power. Most DFT-based frequency estimators reported in the literature exhibit an error floor at high SNR, due to their use of approximations to nonlinear equations. This effect is pronounced for short observation windows. In this paper, we propose two simple nonlinear equation solvers for eliminating this error floor. Simulations confirm the effectiveness of this proposed approach. We add to the literature of DFT-based estimators by proposing a frequency estimator for the case where a measured sequence is zero-padded by a factor of two.
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M3 - Conference contribution
AN - SCOPUS:84901327616
SN - 9780992862602
T3 - European Signal Processing Conference
BT - 2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PB - European Signal Processing Conference, EUSIPCO
T2 - 2013 21st European Signal Processing Conference, EUSIPCO 2013
Y2 - 9 September 2013 through 13 September 2013
ER -