In recent years, voice deepfake technology has developed rapidly, but current detection
methods have the problems of insufficient detection generalization and insufficient feature …

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 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 …

In this study, an off-grid sparse Bayesian inference (OGSBI) based direct position
determination (DPD) algorithm is investigated. Existing SBI-based DPD algorithms are …

A generalized noise reconstruction approach is proposed for improved direction-of-arrival
(DOA) estimation. First, coarse estimation of the noise component in the received data is …

For the traditional uniform linear array (ULA) direction of arrival (DOA) estimation method
with a limited array aperture, a non-circular signal off-grid sparse Bayesian DOA estimation …

Noncircular (NC) signals constitute a significant class of signals that are frequently
employed in communication systems. In the presence of extremely impulsive noises …

Direction of arrival (DOA) estimation with high resolution and low computational complexity
has been one essential research topic. Meanwhile, many solutions have been proposed to …

Time delay estimation (TDE) has been an essential topic in both theoretical research and
engineering practice. The effective models and solutions related to this work have been …

In this paper, a robust DOA estimation scheme based on sparse Bayesian learning (SBL) for
non-circular signals in impulse noise and mutual coupling (MC) is proposed. Firstly, the …