Direction of arrival (DOA) is one of the essential topics in array signal processing that has
many applications in communications, smart antennas, seismology, acoustics, radars, and …

In this letter, we develop an effective algorithm for direction-of-arrival (DOA) estimation of
coherent sources with coprime arrays. Firstly, we generate a virtual uniform linear array …

As compared with sparse scalar arrays and uniform diversely polarized arrays, sparse
diversely polarized arrays show respectively advantages of possessing the ability of sensing …

Conventional tensor direction-of-arrival (DOA) estimation methods for sparse arrays apply
canonical polyadic decomposition (CPD) to the high-order coarray covariance tensor for …

Conventional direction-of-arrival (DOA) estimation algorithms are sensitive to array
imperfections and outliers, making it challenging to realize accurate estimates in real …

In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation
method is proposed for coprime planar array. To perform Nyquist-matched coarray signal …

Direction-of-arrival (DOA) and polarization are both the momentous parameters in
applications of signal processing and communications. In this paper, a closed-form two …

In this article, we propose a coprime array-based technique that enables global navigation
satellite system (GNSS) receivers to reliably defend against spoofing attacks with a small …

The performance of widely linear beamformer (WLB) is seriously degraded by any
uncalibrated mutual coupling between antenna elements. In this paper, we propose an …

The emerging tensor beamformers are capable of structurally filtering multi-dimensional
signals of sensor arrays. Although the popular sparse arrays have been utilized to enhance …