In this work, we present a new coprime array structure termed thinned coprime array (TCA),
which exploits the redundancy in the structure of existing coprime array and achieves the …

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 …

Among various sparse array techniques, co-prime array is found to be more attractive
because of its higher DoF with a smaller number of sensing elements. Generally, a co-prime …

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 …

Based on the high-order difference co-array concept, an enhanced four-level nested array
(E-FL-NA) is first proposed, which optimizes the consecutive lags at the fourth-order …

Sparse sensor arrays have attracted considerable attention in various fields such as radar,
array processing, ultrasound imaging and communications. In the context of correlation …

Recently, the design of sparse arrays for direction-of-arrival (DOA) estimation has gained
considerable attention due to their ability to yield a sizeable virtual aperture, enhanced …

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 …

Sparse arrays, where the sensors are properly placed with nonuniform spacing, are able to
resolve more uncorrelated sources than sensors. This ability arises from the property that the …

This letter proposes a generalised extended nested array with multiple subarrays
(GENAMS) array via the maximum inter-element spacing (IES) constraint principle. Based …