Please use this identifier to cite or link to this item: https://doi.org/10.4218/etrij.11.0110.0138
Title: Improved single-tone frequency estimation by averaging and weighted linear prediction
Authors: So, H.C.
Liu, H. 
Keywords: Frequency estimation
Linear prediction
Threshold performance
Issue Date: Feb-2011
Citation: So, H.C., Liu, H. (2011-02). Improved single-tone frequency estimation by averaging and weighted linear prediction. ETRI Journal 33 (1) : 27-31. ScholarBank@NUS Repository. https://doi.org/10.4218/etrij.11.0110.0138
Abstract: This paper addresses estimating the frequency of a cisoid in the presence of white Gaussian noise, which has numerous applications in communications, radar, sonar, and instrumentation and measurement. Due to the nonlinear nature of the frequency estimation problem, there is threshold effect, that is, large error estimates or outliers will occur at sufficiently low signal-to-noise ratio (SNR) conditions. Utilizing the ideas of averaging to increase SNR and weighted linear prediction, an optimal frequency estimator with smaller threshold SNR is developed. Computer simulations are included to compare its mean square error performance with that of the maximum likelihood (ML) estimator, improved weighted phase averager, generalized weighted linear predictor, and single weighted sample correlator as well as Cramér-Rao lower bound. In particular, with smaller computational requirement, the proposed estimator can achieve the same threshold and estimation performance of the ML method. © 2011 ETRI.
Source Title: ETRI Journal
URI: http://scholarbank.nus.edu.sg/handle/10635/116402
ISSN: 12256463
DOI: 10.4218/etrij.11.0110.0138
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