Fast Estimation of Two-Dimensional Direction-of-Arrival Based on L-Shape Array with Gaussian White Noise
Le Li · Telecommunication Engineering · 2014
A fast two- dimensional( 2- D) direction- of- arrival( DOA) estimation method based on L-shape array with Gaussian white noise is presented. First,according to the structure of the array,two cross- covariance matrices are constructed and the effect of noise is suppressed at the same time. Then,a DOA matrix is formed from the covariance matrices. Direction vectors and direction elements as taht of 2- D bearing angles can be obtained by performing eigen- decomposition of the DOA matrix. The proposed algorithm is more computationally efficient than conventional algorithms without searching spectral peak,and the parameters can be paired automatically. Simulation results indicate that the performance of the algorithm is nearly the same as that of 2D ESPRIT algorithm with much lower computational complexity,so it is suitable for high real- time applications.