Conventionally, mixed near-field (NF) and far-field (FF) source localization is performed
using a symmetric uniform linear array (ULA). Recently, two symmetric nonuniform linear …

The problem of passive localization of mixed near-field (NF) and far-field (FF) source signals
in the presence of array gain-phase uncertainties is addressed. A new algorithm is aimed to …

Most existing methods for mixed far-field (FF) and near-field (NF) sources localization are
based on uniform linear arrays (ULAs) or some special sparse linear arrays (SLAs) such as …

We recently proposed a direction-of-arrival (DOA) estimation method for the coexistence of
uncorrelated and coherent signals, which is related to the uniform linear antenna arrays with …

In massive multiple-input multiple-output (MIMO) systems, efficiently estimating both the
direction-of-arrival (DOA) and the source power with an increased number of degrees-of …

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

The sparse reconstruction techniques can improve the accuracy and resolution of the
direction of arrival (DOA) estimation using sensor arrays. However, due to reflective objects …

Many mixed near-field (NF) and far-field (FF) source localization algorithms in the open
literature are developed based on the Fresnel approximation model, which is a simplified …

In this paper, a novel localization method is proposed for DOA, range and polarization
estimation of near-field noncircular sources in massive multiple-input-multiple-output (MIMO) …

In this letter, an ESPRIT-based algorithm is proposed to handle the direction of arrival (DOA)
estimation problem for strictly noncircular sources with unknown mutual coupling. At the cost …