Coprime arrays can achieve an increased number of degrees of freedom by deriving the
equivalent signals of a virtual array. However, most existing methods fail to utilize all …

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

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

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 …

Sparse array direction-of-arrival (DOA) estimation using tensor model has been developed
to handle multidimensional sub-Nyquist sampled signals. Furthermore, augmented virtual …

Array signal processing is an essential tool in broad radar applications. The coprime array
has recently been proposed to overcome the bottleneck caused by the Nyquist spatial …

Linear sparse antenna arrays have been widely studied in array processing literature. They
belong to the general class of non-uniform linear arrays (NULAs). Sparse arrays need fewer …

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 …

As the frequencies increase, the Nyquist rate is difficult to reach in certain applications.
Consequently, alternatives to high-rate sampling are drawing considerable attention. In this …

Direction of Arrival (DOA) estimation by Maximum Likelihood (ML) method has been popular
among researchers due to its effective performance. However, its practical applications are …