Radars are expected to become the main sensors in various civilian applications, ranging
from health-care monitoring to autonomous driving. Their success is mainly due to the …

In this paper, we analyze the accuracy of target localization in multiple-input multiple-output
(MIMO) radars with widely-separated antennas. The relative target-antennas geometry plays …

Recently, deep unfolded networks have been widely utilized in direction of arrival (DOA)
estimation due to the reduced computational complexity and improved estimation accuracy …

Direction of arrival (DOA) estimation using coprime array is studied, and an extended-
aperture unitary root multiple signal classification (MUSIC)-based method is proposed. The …

In the indoor environment, where global positioning system (GPS) fails, the presence of
multipath, non-line-of-sight (NLOS), and dense scatterer yields unreliable position …

This letter is focused on the design and analysis of computational wideband time-reversal
imaging algorithms, designed to be adaptive with respect to the noise levels pertaining to …

Estimating directions of arrival (DOA) without knowledge of the source number is regarded
as a challenging task, particularly when coherence among sources exists. Researchers …

Time-reversal multiple signal classification (TR-MUSIC) is here applied to testing cable
networks in order to detect and locate soft faults. TR-MUSIC is shown to provide spatial …

Long-time coherent integration can effectively improve the radar detection ability of a
maneuvering target. However, with the increasing of integration time, radial velocity and …

The multiple signal classification (MUSIC) algorithm is originally used for direction of arrival
estimation and frequency identification. MUSIC-like algorithms have gained their popularity …