In this paper, we present a novel direction-of-arrival (DOA) estimation strategy that exploits
distributed sparse sensor arrays and structured matrix completion-based information fusion …

Distributed sparse arrays, consisting of multiple subarrays, facilitate a higher number of
degrees of freedom and enhanced direction-of-arrival (DOA) estimation performance …

We consider gridless direction-of-arrival (DOA) estimation of much more targets than the
number of physical sensors through the exploitation of multi-frequency sparse array design …

In the design phase of sensor arrays during array signal processing, the estimation
performance and system cost are largely determined by array aperture size. In this article …

In this paper, we propose a new sparse coprime array design that achieves a higher number
of degrees-of-freedom for direction-of-arrival (DOA) estimation. The proposed array design …

Recently, dilated nested arrays have been proposed on a moving platform to increase the
uniform degrees of freedom (uDOF) by a factor of three by exploiting array motion. However …

Many works have been done in direction-of-arrival (DOA) estimation in the presence of
sensor gain and phase uncertainties in the past decades. Most of the existing approaches …

In this paper, we explore a collaborative direction-of-arrival (DOA) estimation technique that
utilizes multiple closely spaced subarrays to maximize the potential of distributed arrays …

This paper critically examines the potential performance benefits offered by motion of sparse
arrays for direction-of-arrival (DOA) estimation. The motivation behind utilizing array motion …

In this paper, we consider a collaborative direction-of-arrival (DOA) estimation problem in
which multiple quasi-collocated subarrays are employed. Our objective is to effectively …