In this paper, to address the problem of array sensors failure, we propose a covariance
matrix reconstruction method for direction-of-arrival (DOA) estimation. Firstly, we devise a …

This paper presents multi-frequency operation for increasing the number of resolvable
sources in high-resolution direction-of-arrival (DOA) estimation using co-prime arrays. A …

The original coprime array is a sparse geometry with a pair of one-period subarrays, where
the interelement spacing and number of sensors are coprime so that no elements overlap …

In this study, a low complexity two-dimensional direction-of-arrival (2-D DOA) estimation
method is proposed with uniform rectangular array (URA) when uncorrelated and coherent …

A new array geometry, which is capable of significantly increasing the degrees of freedom of
linear arrays, is proposed. This structure is obtained by systematically nesting two or more …

Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

This letter aims to estimate the 2-D direction-of-arrival (DOA) using a polarized uniform
rectangular array (URA) under multipath propagation. To leverage the tensorial nature, a …

Direction of arrival (DOA) estimation of quasi-stationary signals (QSS) is discussed in this
paper, and an algorithm using unfolded coprime array is proposed. Coprime array consists …

In this paper, we propose a new sparse coprime array design that achieves a higher number
of degrees-of-freedom for direction-of-arrival (DOA) estimation. The proposed array design …

To achieve a better tradeoff between the direction-of-arrival (DOA) estimation resolution and
complexity compared to the existing sparse array based estimators, this letter proposes a …