MUSIC 2D-DOA Estimation using Split Vertical Linear and Circular Arrays

2D DOA estimation with sparse uniform circular arrays in the presence of mutual coupling

In this article, we consider the uniform circular arrays (UCAs) with the number of antenna elements insufficient to apply the traditional beamspace-based algorithms, which are labeled as sparse UCAs. For such UCAs, we propose a new hybrid approach for 2D direction-of-arrival (DOA) estimation in the presence of mutual coupling. Using the manifold decomposition technique, we present two new formu...

Fast 2D DOA Estimation Algorithm by an Array Manifold Matching Method with Parallel Linear Arrays

In this paper, the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation with parallel linear arrays is addressed. Two array manifold matching (AMM) approaches, in this work, are developed for the incoherent and coherent signals, respectively. The proposed AMM methods estimate the azimuth angle only with the assumption that the elevation angles are known or estimated. The propos...

Study of DOA Estimation Using Music Algorithm

Wireless communication systems utilize smart antennas. Smart antenna have digital signal processing unit. Smart antennas have ability to locate and track signals. Smart antenna performance depends on efficiency of digital signal processing algorithms. The Angle of Arrival (AOA) estimation algorithms is used for estimate the number of incidents signals on the antenna array and their angle of inc...

DOA Estimation with Uniform Circular Array Using Gauss-Newton Method Based on MUSIC and MODE Algorithms

DOA estimation with hexagonal arrays

Hexagonal arrays are widely used in practice but have received less attention in the optimum array processing literature. In this paper, we show how unitary ESPRIT can be applied to hexagonal arrays for direction-of-arrival (DOA) estimation. The resulting estimates exhibit good threshold behavior, and are close to the Cramer-Rao bound above threshold. We also show how to use spatial smoothing i...