Author_Institution :
Sch. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
For two-dimensional (2-D) directions-of-arrival (DOA) estimation problem, the L-shaped array seems to have higher accuracy than other structured arrays [see ??An L-shaped array for estimating 2-D directions of wave arrival?? by Hua for details], and has received much attention. To estimate elevation and azimuth angles, two correctly matched electric angles (functions of elevation and azimuth angles) are estimated in advance, so that elevation and azimuth angles are obtained from the two correctly matched electric angles. However, the failure in pairing will cause severe performance degradation. In this communication, a novel algorithm, which doesn´t require match procedure, is proposed to estimate 2-D DOA in the L-shaped array geometry. The key points of this communication are: i) by introducing a novel electric angle, the steering vector is separated into two parts; ii) the two parts can be obtained in turn by generalized ESPRIT approach and eigenvalue decomposition (EVD) of one particular matrix, respectively; iii) elevation and azimuth angles can be obtained from the recovered steering vector. The resultant algorithm avoids match operation, and requires one-dimensional search once. Simulation results are presented to validate the performance of the proposed method.
Keywords :
array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; L-shaped array; array signal processing; azimuth angles; azimuth direction finding; correctly matched electric angles; eigenvalue decomposition; elevation angles; generalized ESPRIT approach; joint elevation finding; recovered steering vector; two-dimensional directions-of-arrival estimation problem; Azimuth; Degradation; Direction of arrival estimation; Eigenvalues and eigenfunctions; Geometry; Matrix decomposition; Radar signal processing; Sensor arrays; Signal processing algorithms; Two dimensional displays; Array signal processing; directions-of-arrival (DOA);