%0 Conference Paper
%B Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
%D 1993
%T An adaptive ESPRIT based on URV decomposition
%A Liu,K. J.R
%A O'Leary, Dianne P.
%A Stewart, G.W.
%A Wu,Y.-J.J.
%K algorithm;array
%K complexity;parameter
%K decomposition;real-time
%K ESPRIT
%K estimation;real-time
%K filters;array
%K of
%K processing;adaptive
%K processing;computational
%K savings;performance;rank-revealing
%K sensors;computational
%K signal
%K systems;
%K systems;time-varying
%K URV
%K URV-based
%X 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≫
%B Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
%V 4
%P 37 -40 vol.4 - 37 -40 vol.4
%8 1993/04//
%G eng
%R 10.1109/ICASSP.1993.319588