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 …

Localizing sources in the near-field is one of the emerging challenges for array signal
processing, which has received a great deal of attention in recent years. The development of …

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, we investigate the problem of estimating the directions-of-arrival (DOAs) and
ranges of multiple narrowband near-field sources in unknown spatially nonuniform noise …

The clock bias and drift caused by imperfect time synchronization is a practical issue in
localization problems. In this paper, we address the moving source localization problem …

In this article, to accelerate data acquisition and image reconstruction procedures in a
multistatic short-range microwave imaging scenario, an orthogonal coding approach with …

This paper investigates the classification and localization of the mixed far-field sources
(FFSs) and near-field sources (NFSs) on a symmetrical uniform linear array and proposes a …

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 …

In this letter, a low complexity localization algorithm based on Discrete Fourier Transform
(DFT) and Orthogonal Matching Pursuit (OMP) is proposed for mixed far-field and near-field …