Title :
A novel high resolution direction of arrival estimation algorithm
Author :
Kang Jun ; Huang Dengshan ; Cai Huifu ; Wang Dajun
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
In this paper, a novel high resolution direction of arrival (DOA) estimation is proposed, which is based on virtual matrix and orthogonal vector, the OVSS-VM algorithm for short. The virtual matrix is employed as the preprocessor for the uniform linear array (ULA), then the rotational matrix in ESPRIT is used to estimate the directions of the coherent sources, and the orthogonal vector in noise subspace can be used to search the peak value of the spectral. The simulation results show that the OVSS-VM algorithm provides higher resolution and robustness performance for coherent signals estimation than conventional method.
Keywords :
direction-of-arrival estimation; matrix algebra; signal processing; vectors; ESPRIT; coherent signals estimation; direction of arrival estimation algorithm; orthogonal vector spectral estimation-virtual matrix algorithm; rotation invariance technique; rotational matrix; signal parameter estimation; uniform linear array; Array signal processing; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Matrix decomposition; Sensor arrays; Signal processing algorithms; Signal resolution; Smoothing methods; Vectors; DOA; array signal processing; orthogonal vector; uniform linear array; virtual matrix;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512432
