8 accepted papers
Most existing near-field (NF) source localization methods are based on uniform/sparse symmetric linear arrays. But planar arrays will be more common in the future. In this paper, we propose an NF source localization method for rectangular array, which can be uniform rectangular array (URA) or centra…
Most studies of frequency diverse array multiple-input multiple-output (FDA-MIMO) radar are based on uniform linear array (ULA), and thus the extended aperture characteristic of sparse arrays cannot be utilized. To solve this problem, a gridless angle and range estimation method for monostatic FDA-M…
Extremely large-scale antenna array (ELAA) is a promising technique in 6G and autonomous driving thanks to its high spatial resolution. However, due to the extremely large array aperture, the sources may only "see" a portion of the array, called visibility region (VR). Since the information of VR is…
Most localization methods for mixed far-field (FF) and near-field (NF) sources are based on uniform linear array (ULA) rather than sparse linear array (SLA). In this paper, we propose a localization method for mixed FF and NF sources based on the generalized symmetric linear arrays, which include UL…
In this paper, a gridless super-resolution direction-of-arrival (DOA) estimation method with unknown mutual coupling is proposed. A new clean steering vector is obtained based on the banded symmetric Toeplitz structure of the mutual coupling matrix (MCM). Further, atomic norms associated with the ar…
The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution. However, its computational workload might be unaffordable when the number of snapshots is large. In this paper, we propose two grid…
In this paper, a new method for two-dimensional (2-D) direction-of-arrival (DOA) estimation is proposed. We first reconstruct the covariance matrix of the coarray with block-Toeplitz structure and then retrieve the DOAs. Our method is computationally efficient as supported by the derived closed-form…
This paper addresses the issue of direction-of-arrival (DOA) estimation with an objective to eliminate the off-grid effect of the sparsity-based methods and enlarge the maximum number of distinguishable signals in the subspace-based methods. We first reconstruct the covariance matrix of the array ou…