An adaptive ESPRIT based on URV decomposition
| Title | An adaptive ESPRIT based on URV decomposition |
| Publication Type | Conference Papers |
| Year of Publication | 1993 |
| Authors | Liu KJR, O'Leary DP, Stewart G.W, Wu Y-JJ |
| Conference Name | Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on |
| Date Published | 1993/04// |
| 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 |
| 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≫ |
| DOI | 10.1109/ICASSP.1993.319588 |