An adaptive ESPRIT based on URV decomposition

TitleAn adaptive ESPRIT based on URV decomposition
Publication TypeConference Papers
Year of Publication1993
AuthorsLiu KJR, O'Leary DP, Stewart G.W, Wu Y-JJ
Conference NameAcoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Date Published1993/04//
Keywordsalgorithm;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

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≫