Author :
Stoica, Petre ; Cedervall, Mats
Author_Institution :
Dept. of Technol., Uppsala Univ., Sweden
fDate :
2/1/1995 12:00:00 AM
Abstract :
Studies the consistency properties of a method recently proposed for temporal or spatial frequency estimation from noisy data. The method in question is a MUSIC technique that makes use of a linear prediction algorithm to determine the signal subspace. It is shown that the signal subspace determined by the subject linear prediction-MUSIC (LP-MUSIC) algorithm can collapse in certain scenarios and. Hence, that the LP-MUSIC frequency estimates are not always consistent. The difficulties LP-MUSIC may encounter in some cases are illustrated by means of numerical examples
Keywords :
frequency estimation; noise; prediction theory; signal processing; LP-MUSIC; consistency properties; frequency estimates; linear prediction algorithm; linear prediction-MUSIC; noisy data; signal subspace; spatial frequency estimation; temporal frequency estimation; Algorithm design and analysis; Automatic control; Control systems; Councils; Covariance matrix; Equations; Frequency estimation; Multiple signal classification; Prediction algorithms; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
