@article {15828,
	title = {URV ESPRIT for tracking time-varying signals},
	journal = {Signal Processing, IEEE Transactions on},
	volume = {42},
	year = {1994},
	month = {1994/12//},
	pages = {3441 - 3448},
	abstract = {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},
	keywords = {arrival;narrowband, decomposition;real, directions, ESPRIT;fixed, estimation;real-time, of, processing;time-varying, signals;performance;rank-revealing, signals;tracking;direction-of-arrival, systems;time-varying, systems;tracking;, TIME, URV},
	isbn = {1053-587X},
	doi = {10.1109/78.340778},
	author = {Liu,K. J.R and O{\textquoteright}Leary, Dianne P. and Stewart, G.W. and Wu,Y.-J.J.}
}
@conference {15713,
	title = {An adaptive ESPRIT based on URV decomposition},
	booktitle = {Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on},
	volume = {4},
	year = {1993},
	month = {1993/04//},
	pages = {37 -40 vol.4 - 37 -40 vol.4},
	abstract = {ESPRIT is an algorithm for determining the fixed directions of arrival of a set of narrowband signals at an array of sensors. 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 (SVD) used in previous ESPRIT algorithms. Its performance is demonstrated on simulated data representing both constant and time-varying signals. It is shown that the URV-based ESPRIT algorithm is effective for estimating time-varying directions-of-arrival at considerable computational savings over the SVD-based algorithm.<<ETX>>},
	keywords = {algorithm;array, complexity;parameter, decomposition;real-time, ESPRIT, estimation;real-time, filters;array, of, processing;adaptive, processing;computational, savings;performance;rank-revealing, sensors;computational, signal, systems;, systems;time-varying, URV, URV-based},
	doi = {10.1109/ICASSP.1993.319588},
	author = {Liu,K. J.R and O{\textquoteright}Leary, Dianne P. and Stewart, G.W. and Wu,Y.-J.J.}
}
