Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

As an indispensable part of the Internet of Vehicles (IoV), unmanned aerial vehicles (UAVs)
can be deployed for target positioning and navigation in the space–air–ground-integrated …

In this letter, we propose a generalized nested array (GNA) with two flexible co-prime factors
for enlarging the inter-element spacing of two concatenated uniform linear subarrays. It is …

Smart city enters the new 3.0 era, and Internet of Things (IoT) perform as the urban neural
network in smart city. In the industrial areas of smart city, the IoT focuses on industrial …

In this letter, a novel robust block sparse recovery algorithm by using the weighted subspace
fitting (WSF) is proposed to deal with the direction-of-arrival (DOA) problem under the …

In this letter, the direction-of-arrival (DOA) estimation of uniform linear array under unknown
mutual coupling is dealt with by proposing a reweighted regularized sparse recovery …

In this letter, we consider the direction-of-arrival (DOA) estimation in the presence of
unknown mutual coupling in application to uniform linear arrays (ULAs). A novel method is …

In this letter, we focus on the problem of direction-of-arrival (DOA) estimation with a nested
array in the presence of unknown mutual coupling. Firstly, the measurement model of the …

A novel sparse reconstruction method is developed for direction of arrival (DOA) estimation
in the presence of unknown mutual coupling of uniform linear arrays. In the proposed …

Obtaining accurate angle parameters using direction-of-arrival (DOA) estimation algorithms
is crucial for acquiring channel state information (CSI) in massive multiple-input multiple …