Optimal coherent subspace for bearing estimation

Author

Bourennane, S. ; Frikel, Miloud

Author_Institution

CMCS, CNRS, Corte, France

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

430

Abstract

We present a noneigenvector algorithm for DOA estimator calculation. This algorithm is based on the partitioning of the cross-spectral matrix. An operator, the so-called propagator, is estimated. It has been shown that the propagator has the same properties as the noise subspace. The proposed algorithm is very effective in computations and resolves the source localization problem in the presence of the correlated noise. Fast transformation matrices are presented which leads one to construct the coherent signal subspace. The simulation results concerning the performance of the developed method are presented

Keywords

array signal processing; direction-of-arrival estimation; matrix algebra; noise; spectral analysis; DOA estimator; bearing estimation; coherent signal subspace; correlated noise; cross-spectral matrix partitioning; fast transformation matrices; noise subspace; noneigenvector algorithm; optimal coherent subspace; performance; propagator; simulation results; source localization problem; Acoustic signal processing; Additive noise; Computational modeling; Direction of arrival estimation; Frequency; Partitioning algorithms; Sensor arrays; Signal processing algorithms; Signal resolution; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608854

Filename

608854