Joint 2-D DOA Estimation via Sparse L-shaped Array

Analog-to-Digital Cognitive Radio: Sampling, Detection, and Hardware

“…The resulting sparse matrix derived from R x is diagonal as well, and its sparse diagonal can be recovered using traditional CS techniques, similarly to (27). The second recovery approach, inspired by [110], [111], extends the ESPRIT algorithm to the joint estimation of carriers and DOAs, while overcoming the pairing issue. The 2D-ESPRIT algorithm presented in [53] is directly applied to the sub-Nyquist samples, by considering cross-correlation matrices between the sub-arrays of both axis.…”

A Joint Space-Time Array for Communication Signals-Based on a Moving Platform and Performance Analysis

“…In the modern electromagnetic environment, antenna arrays may be deployed on moving platforms (e.g., airplanes, satellites, ships) to enhance their maneuverability [1]. However, apertures of those arrays are generally restricted by the size of platform they attached to, which could lead to degradation on DOA estimation performance if not of a suitable size [2]. …”

Fast Noncircular 2D-DOA Estimation for Rectangular Planar Array

“…[1,2,3,4,5], which is an important research branch in array signal processing. Many 2D-DOA estimation algorithms have sprung up in recent years in order to improve the performance of angle estimation, which include the two dimensional multiple signal classification(2D MUSIC) algorithm [6], the 2D Unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm [7], the modified 2D-ESPRIT algorithm [8], the matrix pencil method [9], the maximum likelihood method [10,11], the parallel factor (PARAFAC) algorithm [12], and so on [13,14,15,16,17,18,19,20]. However, those 2D-DOA estimation algorithms are confronted with the problem of the high computational complexity generally and they are very difficult to apply in engineering practice.…”