Most works in the literature on parameter estimation with multiple-input multiple-output
(MIMO) systems are limited to estimating only the direction of arrival (DOA), and/or based on …

Sparse arrays, such as nested arrays, are able to resolve more sources than sensors
because their difference co-arrays can provide O (L 2) degrees-of-freedom (DOFs) with L …

In recent years, the sources localization has noticed an increase in research conducted on
the problem of mixed far-field sources (FFSs) and near-field sources (NFSs). The main …

In this paper, a one-step method is proposed for the classification and estimation of the
parameters in the scenario of mixed near-field and far-field stationary sources. By …

Direction-of-arrival (DOA) estimation plays a crucial role in array signal processing across
various domains, including radar, sonar, wireless communications, and seismic exploration …

Unlike passive detection in the far-field where the array steering vector depends only on
direction-of-arrival (DOA), in the near-field (NF) since the shape of the spherical wavefront …

Conventional decorrelation techniques that resolve all signals simultaneously are not
efficient in mixture scenarios of non-coherent and coherent signals. In newer methods for …

The degree of freedom (DOF) is an important performance metric for evaluating the design
of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom …

This paper addresses the problem of the two-dimensional direction-of-arrival (2D DOA)
estimation of low-elevation or non-low-elevation targets using L-shaped uniform and sparse …

Abstract The existing Cramer‐Rao bound (CRB) expressions in the literature are not
applicable to the problem of localization of mixed near‐field (NF) and far‐field (FF) sources …