As a promising research area in Internet of Things (IoT), Internet of Vehicles (IoV) has
attracted much attention in wireless communication and network. In general, vehicle …

Usually, direction-of-arrival (DOA) estimators are derived under the assumption of uniform
white noise, whose covariance matrix is a scaled identity matrix. However, in practice, the …

It is known that classical subspace-based direction-of-arrival (DOA) estimation algorithms
are not straightforwardly applicable to scenarios with unknown spatially nonuniform noise …

In the scenario of ambient noise, the noise powers received by the pressure and velocity
components in an underwater acoustic vector sensor (AVS) array are unequal. This paper …

In this paper, we address the problem of sparsity-inducing direction-of-arrival (DOA)
estimation in the context of array covariance vectors when a recently proposed nested array …

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 …

In this paper, we propose direction-of-arrival (DOA) estimation techniques, respectively
based on covariance matrix reconstruction and matrix completion, to achieve robust DOA …

There is an increasing interest in direction-of-arrival (DOA) estimation using nested arrays
composed of vector sensors. Considering acoustic vector sensors (AVSs) commonly used in …

The ambient noise covariance matrix for the array of underwater acoustic vector sensors
(AVSs) is not equal to a scaled identity matrix. This fact contradicts the requirement of …

We recently proposed an ESPRIT-like method for direction finding with partly calibrated
uniform linear arrays. It has been shown that the unknown gains/phases and directionof …