%0 Journal Article %J Signal Processing, IEEE Transactions on %D 1994 %T URV ESPRIT for tracking time-varying signals %A Liu,K. J.R %A O'Leary, Dianne P. %A Stewart, G.W. %A Wu,Y.-J.J. %K arrival;narrowband %K decomposition;real %K directions %K ESPRIT;fixed %K estimation;real-time %K of %K processing;time-varying %K signals;performance;rank-revealing %K signals;tracking;direction-of-arrival %K systems;time-varying %K systems;tracking; %K TIME %K URV %X ESPRIT is an algorithm for determining the fixed directions of arrival of a set of narrowband signals at an array of sensors. Unfortunately, its computational burden makes it unsuitable for real time processing of signals with time-varying directions of arrival. The authors develop a new implementation of ESPRIT that has potential for real time processing. It is based on a rank-revealing URV decomposition, rather than the eigendecomposition or singular value decomposition used in previous ESPRIT algorithms. The authors demonstrate its performance on simulated data representing both constant and time-varying signals. They find that the URV-based ESPRIT algorithm is effective for estimating time-varying directions-of-arrival at considerable computational savings over the SVD-based algorithm %B Signal Processing, IEEE Transactions on %V 42 %P 3441 - 3448 %8 1994/12// %@ 1053-587X %G eng %N 12 %R 10.1109/78.340778