Estimation of 2-D Direction of Arrival with an Extended Correlation Matrix
Ferid Harabi, Hatem Changuel, Ali Gharsallah · 2007
This paper presents a new subspace-based 2D direction of arrival (DOA) estimation algorithm for narrowband sources with high-resolution localization capabilities. DOA estimation is achieved by using the noise-subspace eigenvectors of a new extended correlation matrix (ECM). A 2-L shape antenna array is proposed. Unlike common planar and circular arrays, the novel antenna array with this special geometry requires no pair matching between the azimuth and elevation angle estimation also this key can remove the drawbacks of estimation-failure problems. The performance of the proposed approach is examined by a simulation study. The simulation results show a good estimate performance.