The coprime array has become an essential part of array signal processing, which can
obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the …

Sparse array is popular in the field of array signal processing. However, in the direction of
arrival (DOA) estimation, most research on sparse array assumes Gaussian noise, resulting …

The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target
bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based …

Direction of arrival (DOA) estimation with nested arrays has been widely investigated in the
field of array signal processing, but most studies assume that the noise is Gaussian white …

In the domain of array signal processing, impulsive noise represents a pervasive challenge
that undermines the accuracy and reliability of the direction of arrival (DOA) estimation …

Several approaches for estimating the direction of arrival (DOA) are traditionally developed
assuming Gaussian noise, making them highly sensitive to outliers. Therefore, when …

The complex-valued fixed dimensional adaptive filters (CFDAFs) can improve the
performance and computational efficiency of complex-valued kernel adaptive filters …

This paper presents a three-step direction-of-arrival (DOA) estimation method aimed at
addressing impulsive noise and array gain-phase errors. Initially, a robustness function …

Most of the existing direction of arrival (DOA) estimation methods in impulsive noise
scenario are based on the fractional low-order moment statistics (FLOSs), such as the robust …

Standard Direction of Arrival (DOA) estimation methods are typically derived based on the
Gaussian noise assumption, making them highly sensitive to outliers. Therefore, in the …