DocumentCode
751963
Title
An Exact Direct Method of Sinusoidal Parameter Estimation Derived From Finite Fourier Integral of Differential Equation
Author
Ando, Shigeru ; Nara, Takaaki
Author_Institution
Dept. of Inf. Phys. & Comput., Univ. of Tokyo, Tokyo, Japan
Volume
57
Issue
9
fYear
2009
Firstpage
3317
Lastpage
3329
Abstract
In this paper, we propose a novel method for estimating the parameters (frequency, amplitude, and phase) of real sinusoids. To derive the estimator, we start from the characteristic differential equation of a sinusoid. To remove differentials and obtain an algebraic relation for frequency, we introduce finite-period weighted integrals of the differential equation, which become equivalent to the differential equation when a sufficient number of weight functions are applied. As weight functions, we show that Fourier kernels have excellent properties. Terms related to integral boundaries are readily eliminated, observations are provided by Fourier coefficients, and the relation becomes independently accurate for multiple sinusoids if they are sufficiently spaced. We solve the obtained equations in two ways: one is for approaching to the Cramer-Rao lower bound (CRLB), and the other is for enhancing the interference rejection capability. Also, methods are proposed to calculate the weighted integrals from sampled signals with an improved accuracy. Proposed algorithms are examined under noise and sinusoidal interference. Error variances are compared with the CRLB and other fast Fourier transform (FFT)-based methods.
Keywords
amplitude estimation; differential equations; fast Fourier transforms; frequency estimation; phase estimation; signal sampling; Cramer-Rao lower bound; amplitude estimation; differential equation; exact direct method; fast Fourier transform; finite Fourier integral; finite-period weighted integrals; frequency estimation; interference rejection capability; phase estimation; sinusoidal interference; sinusoidal parameter estimation; Differential equations; fast Fourier transform (FFT); frequency estimation; spectral analysis; weighted integral;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2009.2021501
Filename
4840359
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