URV ESPRIT for tracking time-varying signals

TitleURV ESPRIT for tracking time-varying signals
Publication TypeJournal Articles
Year of Publication1994
AuthorsLiu KJR, O'Leary DP, Stewart G.W, Wu Y-JJ
JournalSignal Processing, IEEE Transactions on
Pagination3441 - 3448
Date Published1994/12//
ISBN Number1053-587X
Keywordsarrival;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

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