Title :
Synthetic spatial spectrum DOA estimator for two closely spaced emitters
Author :
Hong, You ; Jianguo, Huang ; Jianfeng, Chen
Author_Institution :
Northwestern Polytech. Univ., Xian
Abstract :
In this paper, we propose a new estimator of DOA called synthetic spatial spectrum method (SSM). The estimator is synthesized with signal subspace projection method and noise subspace projection method, which is classical MUSIC spatial-spectra algorithm. The signal subspace projection is weighted with reciprocal of principle eigenvalue. For two closely spaced emitters, the proposed SSM efficiently makes use of all information spread in eigenvalues and eigenvecters. So it provides better resolution and estimation performance in snapshot deficient and low SNR scenario than MUSIC algorithm. Computer simulation results show that the correctness and efficiency of the new method.
Keywords :
direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; MUSIC spatial-spectra algorithm; SNR scenario; closely spaced emitters; eigenvecters; noise subspace projection method; principle eigenvalue; signal subspace projection method; snapshot deficient scenario; synthetic spatial spectrum DOA estimator; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Maximum likelihood estimation; Multiple signal classification; Projection algorithms; Sensor arrays; Signal processing algorithms; Signal resolution; Signal to noise ratio;
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
DOI :
10.1109/ICIEA.2008.4582957