Title :
An improved single frequency estimator
Author :
Kim, Daeyoung ; Narasimha, Madihally J. ; Cox, Donald C.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
A new method for estimating the frequency of a complex sinusoid in complex white Gaussian noise is proposed. Its computational complexity is comparable to Kay´s method [1989], but it attains the Cramer-Rao bound (CRB) down to lower signal-to-noise ratio (SNR) values. Simulation results are included to demonstrate the performance of the proposed method.
Keywords :
Gaussian noise; computational complexity; frequency estimation; spectral analysis; white noise; Cramer-Rao bound; complex sinusoid; complex white Gaussian noise; computational complexity; improved single frequency estimator; performance; signal-to-noise ratio; Computational complexity; Computational modeling; Equations; Fast Fourier transforms; Frequency estimation; Gaussian noise; Gaussian processes; Maximum likelihood estimation; Signal to noise ratio;
Journal_Title :
Signal Processing Letters, IEEE
