Title :
Resolving power of spectral matrix filtering: a discussion on the links steering vectors/eigenvectors
Author :
Thirion, Nadege ; Lacoume, Jean-Louis ; Mars, Jerome
Author_Institution :
Centre d´´Etude des Phenomenes Aletoires et Geophys., St Martin d´´Heres, France
Abstract :
Problems of separation of convolutive mixtures of wideband signals impinging on an antenna array of sensors often arise in signal processing. In seismic signal processing, techniques have been developed to perform separation of seismic waves (f-k or median filters, spectral matrix filtering, Radon or Karhunen-Loe`ve transforms, maximum likelihood methods). They give good results in most cases, yet their limits might occur in difficult contexts (waves of very close energies or/and near slowness). The authors analytically study the resolving power of spectral matrix filtering to theoretically explain why the method does not work for waves of close energies. This problem brings one to the question of links between eigenvectors and steering vectors
Keywords :
array signal processing; convolution; eigenvalues and eigenfunctions; filtering theory; geophysical signal processing; linear antenna arrays; matrix algebra; seismology; signal resolution; spectral analysis; Karhunen-Loeve transforms; Radon transforms; array signal processing; close energy waves; convolutive mixtures separation; eigenvectors; f-k filters; linear antenna array; maximum likelihood methods; median filters; resolving power; seismic signal processing; seismic waves; sensors; spectral matrix filtering; steering vectors; wideband signals; Array signal processing; Broadband antennas; Filtering; Filters; Mars; Maximum likelihood estimation; Seismic waves; Sensor phenomena and characterization; Signal processing; Signal resolution;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534886