2-D DOA estimation with no failure
Nizar Tayem, Hyuck Moo Kwon, Yong Hoon Lee · 2006
Recently, Wu et al. proposed a scheme for two-dimensional (2-D) direction of arrival angle estimation (DOA) for azimuth and elevation angles, using the propagator method (PM). An advantage of this method over the classical subspace based algorithms, such as ESPRIT and MUSIC, is that it does not apply any eigenvalue decomposition (EVD) to the cross spectral matrix or singular value decomposition (SVD) to the received data. This significantly reduces the computational complexity, compared to the EVD and SVD. However, Wu's method has some drawbacks such as pair matching between the azimuth and elevation angle estimations for multiple different sources. And furthermore, Wu's method has an estimation failure problem in the range of practical mobile elevation angles. The objective of this paper is to overcome these two problems with less arithmetic operation counts than Wu used, and to improve the performance significantly. To achieve these objectives, we propose an antenna array configuration which avoids these problems. Simulation results verify that the proposed scheme can remove these problems and give much better performance.