One-and two-dimensional direction-of-arrival estimation: An overview of search-free techniques
One of major challenges in applying traditional subspace-based direction finding techniques
to real-time practical problems is in that they normally require an exhaustive spectral search …
to real-time practical problems is in that they normally require an exhaustive spectral search …
Mixed near-field and far-field localization and array calibration with partly calibrated arrays
J He, T Shu, L Li, TK Truong - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
The problem of passive localization of mixed near-field (NF) and far-field (FF) source signals
in the presence of array gain-phase uncertainties is addressed. A new algorithm is aimed to …
in the presence of array gain-phase uncertainties is addressed. A new algorithm is aimed to …
Three more decades in array signal processing research: An optimization and structure exploitation perspective
The signal processing community is currently witnessing the emergence of sensor array
processing and direction-of-arrival (DoA) estimation in various modern applications, such as …
processing and direction-of-arrival (DoA) estimation in various modern applications, such as …
DOA estimation and tracking of ULAs with mutual coupling
A class of subspace-based methods for direction-of-arrival (DOA) estimation and tracking in
the case of uniform linear arrays (ULAs) with mutual coupling is proposed. By treating the …
the case of uniform linear arrays (ULAs) with mutual coupling is proposed. By treating the …
A generalized ESPRIT approach to direction-of-arrival estimation
A new spectral search-based direction-of-arrival (DOA) estimation method is proposed that
extends the idea of the conventional ESPRIT DOA estimator to a much more general class of …
extends the idea of the conventional ESPRIT DOA estimator to a much more general class of …
Two-dimensional direction-of-arrival estimation using stacked intelligent metasurfaces
Stacked intelligent metasurfaces (SIMs) are capable of emulating reconfigurable physical
neural networks by utilizing electromagnetic (EM) waves as carriers. They can also perform …
neural networks by utilizing electromagnetic (EM) waves as carriers. They can also perform …
Multi-marginal optimal transport using partial information with applications in robust localization and sensor fusion
During recent decades, there has been a substantial development in optimal mass transport
theory and methods. In this work, we consider multi-marginal problems wherein only partial …
theory and methods. In this work, we consider multi-marginal problems wherein only partial …
Stacked intelligent metasurface performs a 2D DFT in the wave domain for DOA estimation
Staked intelligent metasurface (SIM) based techniques are developed to perform two-
dimensional (2D) direction-of-arrival (DOA) estimation. In contrast to conventional designs …
dimensional (2D) direction-of-arrival (DOA) estimation. In contrast to conventional designs …
Super resolution wide aperture automotive radar
State-of-the-art automotive radars have an angular resolution of 1°, which is insufficient for
estimating the objects shape and boundaries at long distance. In this paper, we design a …
estimating the objects shape and boundaries at long distance. In this paper, we design a …
Direction finding with partly calibrated uniform linear arrays
A new method for direction finding with partly calibrated uniform linear arrays (ULAs) is
presented. It is based on the conventional estimation of signal parameters via rotational …
presented. It is based on the conventional estimation of signal parameters via rotational …