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 …

Existing sparse array (SA) geometries, such as coprime and nested arrays, can be regarded
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …

Most existing near-field (NF) source localization algorithms are developed based on the
Fresnel approximation model, and assume that the spatial amplitudes of the target at the …

In this letter, we develop an effective algorithm for direction-of-arrival (DOA) estimation of
coherent sources with coprime arrays. Firstly, we generate a virtual uniform linear array …

In this letter, we develop a coarray interpolation method for direction-of-arrival (DOA)
estimation using the coprime electromagnetic vector-sensor (EMVS) array. Firstly, we derive …

In this paper, the convolution neural networks (CNN) are developed for the classification and
localization of mixed near-field and far-field sources by using the geometry of symmetric …

To obtain an antenna array with isotropic radiation, spherical antenna array (SAA) is the
right array configuration. The challenges of locating signals transmitted within the proximity …

Symmetric uniform linear arrays (SULAs) are usually used for mixed far-field (FF) and near-
field (NF) source localization. However, the low degrees of freedom (DOFs) of SULAs limits …

Nowadays, symmetric nonuniform linear arrays (SNLAs) have been considered for mixture
near-field (NF) and far-field (FF) source localization since it can provide larger physical array …

In this paper, we develop an efficient algorithm for direction finding and polarization
estimation using coprime electromagnetic vector sensor (EMVS) array. First of all, we …