Title :
Joint frequency and 2-D DOA estimation using pseudocovariance matrices
Author :
Qi, Xin ; Gan, Lu ; Wei, Ping ; Ren, Chunhui
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, a new algorithm of frequency and 2-D DOA (direction-of-arrival) joint estimation employing L-shape arrays using pseudocovariance matrices is addressed. Firstly, pseudocovariance matrices are constructed using the covariance of sensors along the z-axis and x-axis respectively. Then signal subspaces are obtained using singular value decomposition (SVD) technique for the two pseudocovariance matrices. Frequency and 2-D DOA estimation is obtained by ESPRIT-like technique. Simulation results show that the proposed method has very attractive 3-D estimation performance, high DOA separation.
Keywords :
array signal processing; covariance matrices; direction-of-arrival estimation; singular value decomposition; 2D DOA estimation; 2D direction-of-arrival joint estimation; L-shape arrays; joint frequency; pseudocovariance matrices; singular value decomposition; AWGN; Azimuth; Covariance matrix; Direction of arrival estimation; Frequency estimation; Gallium nitride; Matrix decomposition; Sensor arrays; Signal processing algorithms; State estimation;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250499
