A blind Direction-of-Arrivals (DOAs) estimate of narrowband signals for Acoustic Vector-
Sensor (AVS) arrays is proposed. Building upon the special structure of the signal measured …

In this article, source localization exploiting time difference of arrival (TDOA) information is
discussed, and a parallel factor (PARAFAC) analysis-based method for multi-TDOA …

This paper discusses the problem of two-dimensional (2D) direction of arrival (DOA)
estimation for acoustic vector-sensor array, and derives a successive multiple signal …

This paper studies the joint range and angle estimation of monostatic frequency diverse
array multiple-input multiple-output (FDA-MIMO) radar and proposes a joint estimation …

The canonical polyadic decomposition (CPD) of higher-order tensors, aka PARAFAC, has
shown excellent performance in two-dimensional direction of arrival (DOA) estimation using …

We investigate the topic of two‐dimensional direction of arrival (2D‐DOA) estimation for
rectangular array. This paper links angle estimation problem to compressive sensing …

In this paper, we combine the acoustic vector-sensor array parameter estimation problem
with the parallel profiles with linear dependencies (PARALIND) model, which was originally …

Abstracts In this paper, we propose a noncircular-parallel factor (NC-PARAFAC) algorithm
for two-dimensional direction of arrival (DOA) estimation of noncircular signals for acoustic …

In this paper, a fast ESPRIT algorithm is presented for two-dimensional (2D) direction-of-
arrival (DOA) estimation of coherent signals with a linear acoustic vector-sensor array …

A dual parallel factor (PARAFAC)-based approach to jointly estimating the two-dimensional
direction of arrival (2-D DOA) and Doppler is proposed in this paper, where an L-shaped …