Title :
Optimal coherent subspace for bearing estimation
Author :
Bourennane, S. ; Frikel, Miloud
Author_Institution :
CMCS, CNRS, Corte, France
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;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608854
