Array structures based on the high-order difference co-array concept provide a large number
of degrees of freedom, but are typically difficult to design under multiple optimality criteria. In …

The expanding and shift scheme with two nested arrays (EAS-NA-NA) is easy to construct
and effective for achieving large number of degrees of freedom (DOFs), which is one of the …

We present extended Cantor arrays based on fourth-order difference co-arrays (E-FO-
Cantor). These arrays result from extending the recently proposed fractal arrays to fourth …

Direction of arrival (DOA) estimation is widely used in many applications. Traditional DOA
estimation generally adopts the second-order statistics and the uniform linear array (ULA) …

Linear sparse arrays with fourth-order cumulant processing can resolve directions-of-arrival
(DOAs) using physical sensors, provided that the fourth-order difference co-array contains a …

Tensor-based direction-of-arrival (DOA) estimation using sparse arrays suffers performance
loss from noise perturbations which are twofold, namely, the noise power embedded in the …

A generalized sum-difference expansion scheme is proposed to construct sparse arrays
based on the fourth-order difference co-array with increased degrees of freedom (DOFs) …

The use of the emerging hybrid analog-digital structure for future millimeter-wave
communications has attracted much attention. Although this structure can reduce the power …

Sparse arrays with fourth-order cumulant processing can identify up to O\left(N^4\right)
source directions with only N physical sensors. To achieve this property, the fourth-order …

In recent years, sparse arrays based on the fourth‐order difference coarray (FODCA) have
received increased research attention due to their small number of array elements and large …