Title :
A new beamforming algorithm based on signal subspace eigenvectors
Author :
Biguesh, Mehrzad ; Valaee, S. ; Champagne, B. ; Bastani, M.H.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
A new beamforming algorithm, based on the eigendecomposition of the sample correlation matrix, has been introduced. The beamformer uses a weighted linear combination of the signal eigenvectors. Three versions of the beamformer have been proposed. It is shown that the proposed beamformer is a generalization of the delay-and-sum and the minimum variance beamformers. A linearly constrained minimum variance beamformer has also been derived. It is shown that the proposed approach induces robust beamformers
Keywords :
adaptive signal processing; array signal processing; correlation methods; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; interference suppression; DOA estimation; adaptive beamforming algorithm; delay-and-sum beamformer; eigendecomposition; linearly constrained beamformer; minimum variance beamformer; robust beamformers; sample correlation matrix; signal subspace eigenvectors; weighted linear combination; Adaptive arrays; Array signal processing; Calibration; Delay; Direction of arrival estimation; Geometry; Interference; Jamming; Noise cancellation; Signal to noise ratio;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870163
