Title :
Simplification of the MUSIC algorithm using a neural network
Author :
Torrieri, Don ; Bakhru, Kesh
Author_Institution :
Army Res. Lab., Adelphi, MD, USA
Abstract :
The computation of the MUSIC null spectrum and the search for its minima constitute the most demanding computations for the MUSIC algorithm. The time delay entailed can limit the direction-finding performance under nonstationary conditions. In this paper a neural network that directly maps the noise eigenvectors into the spectral minima is described
Keywords :
antenna phased arrays; array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; multilayer perceptrons; signal resolution; MUSIC algorithm; direction-finding performance; multilayer perceptron; multiple signal classification; neural network; noise eigenvectors; nonstationary conditions; null spectrum; phased array antenna; spectral minima; superresolution; Adaptive filters; Computer networks; Concurrent computing; Laboratories; Matrix decomposition; Multiple signal classification; Neural networks; Phased arrays; Signal processing algorithms; Signal resolution;
Conference_Titel :
Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE
Conference_Location :
McLean, VA
Print_ISBN :
0-7803-3682-8
DOI :
10.1109/MILCOM.1996.571407
