Title :
A modified autoregressive spectral estimator for a real sinusoid in white noise
Author :
Jaggi, S. ; Martinez, A.B.
Author_Institution :
Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA
Abstract :
A filter structure based on a modified autoregressive approach is introduced. It is shown that this structure corresponds to the estimate obtained by the Pisarenko harmonic decomposition method. The case of a real sinusoidal signal embedded in white Gaussian noise is analyzed in detail. The frequency of the sinusoid is directly related to a single parameter. An adaptive approach is used to estimate this parameter
Keywords :
adaptive filters; filtering and prediction theory; parameter estimation; spectral analysis; white noise; Pisarenko harmonic decomposition method; filter structure; frequency; modified autoregressive spectral estimator; real sinusoid; spectral analysis; white Gaussian noise; Additive noise; Autocorrelation; Eigenvalues and eigenfunctions; Frequency estimation; Gaussian noise; Matrix decomposition; Polynomials; Power harmonic filters; Signal analysis; White noise;
Conference_Titel :
Southeastcon '89. Proceedings. Energy and Information Technologies in the Southeast., IEEE
Conference_Location :
Columbia, SC
DOI :
10.1109/SECON.1989.132422
