Title :
Improve spectral resolution of subspace-based DOA estimation algorithms using conventional beamforming by noise subspace projection
Author :
Jin, He ; Jianwen, Chen ; Zhong, Liu
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Sci. & Technol., China
Abstract :
A novel method using the signal covariance matrix obtained by conventional beamforming to construct noise subspace projection (CNSP) is proposed. The spectrum resolution of subspace-based DOA estimation algorithm can be improved by forming the spatial spectrum using projection vectors. Theoretical analysis and numerical simulations demonstrate the efficiency of the CNSP method.
Keywords :
array signal processing; covariance matrices; direction-of-arrival estimation; random noise; array signal processing; beamforming; constructed noise subspace projection; projection vectors; signal covariance matrix; spatial spectrum; spectral resolution; subspace-based DOA estimation; Array signal processing; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Erbium; Gaussian noise; Multiple signal classification; Signal generators; Signal resolution; Spatial resolution;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
DOI :
10.1109/APS.2004.1331963
