Sparse arrays possess attractive features compared to uniform linear arrays (ULAs) with
increased degrees of freedom (DOFs), reduced mutual coupling, and enlarged array …

Direction of arrival (DOA) estimation for non-Gaussian signals using three-level nested array
(THL-NA) is investigated in this paper. Motivation from larger consecutive degree of freedom …

For direction-of-arrival (DOA) estimation problems in a sparse domain, sparse Bayesian
learning (SBL) is highly favored by researchers owing to its excellent estimation …

In the paper, joint angle and range estimation issue for monostatic frequency diverse array
multiple-input multiple-output (FDA-MIMO) is proposed, and a tensor-based framework is …

Direction of arrival (DOA) plays an essential and significant role in wireless communication
systems, which has been widely utilized in localization, intelligent navigation, and vehicle …

An architecture for vehicle position estimation is introduced in this paper to tackle the issue
of vehicles positioning in traffic congestion of intelligent transportation system (ITS). The …

In this paper, we consider the problem of direction finding in partly calibrated uniform linear
array (ULA) system with channel gain/phase mismatch, by taking advantage of the high …

In intelligent transportation systems, efficient traffic management and population monitoring
is attributed to the real-time scheduling of multiple Transportation Big Data (TBD) flows …

The clustered property among sparse weight vector is prevalent in applications such as
direction of arrival (DOA) estimation. To address this, block structure has been utilized to …

Equivalent models of antennas are useful for the fast simulation of vehicle-to-everything
(V2X) communication. The existing antenna-equivalent models are inflexible because they …