Title :
Prefiltering-based ESPRIT for estimating sinusoidal parameters in non-Gaussian ARMA noise
Author :
Zhang, Xian-Da ; Liang, Ying-Chang
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fDate :
1/1/1995 12:00:00 AM
Abstract :
Addresses the ESPRIT algorithm for estimating sinusoidal parameters in non-Gaussian ARMA noise. The authors show that after prefiltering the output data via the estimated AR polynomial of the noise model, a new ESPRIT based on some extensions of ESPRIT can be used to estimate sinusoidal parameters
Keywords :
autoregressive moving average processes; filtering theory; parameter estimation; random noise; signal processing; ESPRIT algorithm; estimated AR polynomial; noise model; nonGaussian ARMA noise; output data; prefiltering-based ESPRIT; sinusoidal parameters estimation; Additive noise; Automation; Colored noise; Frequency estimation; Least squares methods; Parameter estimation; Polynomials; Signal processing algorithms; Signal resolution; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
