Title :
Multiple invariance ESPRIT
Author :
Swindlehurst, A. Lee ; Ottersten, Björn ; Roy, Richard ; Kailath, Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
fDate :
4/1/1992 12:00:00 AM
Abstract :
A subspace-fitting formulation of the ESPRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPRIT algorithm is developed and the asymptotic distribution of the estimates is obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPRIT with that of several other approaches. The excellent quality of the MI ESPRIT estimates is explained by recent results which state that, under certain conditions, subspace-fitting methods of this type are asymptotically efficient
Keywords :
signal processing; asymptotic distribution; multiple invariance ESPRIT algorithm; performance; signal parameter estimation; signal processing; simulations; subspace-fitting methods; Analytical models; Frequency estimation; Parameter estimation; Sensor arrays; Signal analysis; Signal processing algorithms; Signal resolution; Space technology; State estimation; Time series analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
