This paper proposes a new array geometry configuration to improve the two dimensional direction of arrival (2D-DOA) estimation of narrowband moving sources with less complexity. This new array is denoted by verticircular configuration, which is composed of both Uniform linear array (ULA) and Uniform Circular array (UCA) to avoid too much computation for 2D-DOA estimation. The proposed verticircular array is applied with the LPA nonparametric estimator to estimate multiple rapidly moving sources’ parameters (angles and angular velocities) for both azimuth as well as elevation directions. Simulation results show that this nonparametric technique is capable of resolving closely spaced sources provided that their velocities are sufficiently different with decreased computational complexity when using the verticircular array. Different scenarios are used to show the efficient LPA beamformer to distinguish sources that can have the same angles using their different angular velocities. In addition, this paper is to compare the performance of the 2D- LPA DOA estimation algorithm when using verticircular array (proposed array geometry) or rectangular planar array geometry. Simulation results show that the performance of the proposed method with less complexity than that obtained when using rectangular planar array.

In this paper, the MUSIC 2D-DOA estimation is estimated by splitting the angle into elevation and azimuth components. This technique is based on an array that is composed by a vertical uniform linear array located perpendicularly at the center of another uniform circular array. This array configuration is proposed to reduce the computational burden faced in MUSIC 2D-DOA estimation where the vertical array is used to determine the elevation DOAs (θs) which are used subsequently to determine the azimuth DOAs (∅s) by the circular array instead of searching in all space of the two angles in the case of using circular array only. The new Split beamformer is investigated and the performance of the MUSIC 2D-DOA under several signal conditions in the presence of noise is studied.