Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

Lower bounds on the mean square error (MSE) play an important role in evaluating the
direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA …

Augmented coarrays can be derived from spatially undersampled signals of sparse arrays
for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of …

We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional
(4D) sensing for autonomous driving, ie, range, Doppler, azimuth, and elevation, through a …

Recently, nested and coprime arrays have attracted considerable interest due to their
capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and …

Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse
array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to …

阵列信号处理是雷达领域各类应用的核心技术之一. 近年来, 互质阵列的提出打破了传统方法受
限于奈奎斯特采样速率这一瓶颈, 其稀疏布设的阵列结构和互质欠采样的信号处理方式大幅降低 …

In this letter, we devise an efficient approach for estimating the directions-of-arrival (DOAs) of
coherent signals using coprime arrays. Specifically, we firstly derive an augmented uniform …

Gridless direction of arrival (DOA) estimation is addressed for a 1-D non-uniform array
(NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …

Conventionally, mixed near-field (NF) and far-field (FF) source localization is performed
using a symmetric uniform linear array (ULA). Recently, two symmetric nonuniform linear …