Title :
Perturbation analysis of the MUSIC algorithm
Author :
Farrier, D.R. ; Jeffries, D.J. ; Mardani, R.
Author_Institution :
Dept. of Electr. Eng., Southampton Univ., UK
Abstract :
A perturbation analysis of the MUSIC algorithm, accurate for small numbers of samples, is described. This is accurate to second order, whereas previous work has been accurate to only first order. The authors also describe how the perturbation analysis may be extended to the case where the background noise matrix is also estimated from noise samples. It is shown that this introduces additional terms which degrade the performance of the MUSIC method
Keywords :
filtering and prediction theory; spectral analysis; MUSIC algorithm; background noise matrix; perturbation analysis; spectrum analysis; Additive noise; Algorithm design and analysis; Background noise; Covariance matrix; Degradation; Eigenvalues and eigenfunctions; Multiple signal classification; Noise measurement; Statistics; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197253
