We consider the problem of recovering block-sparse signals whose cluster patterns are
unknown a priori. Block-sparse signals with nonzero coefficients occurring in clusters arise …

In this work, we apply deep learning to estimate the direction-of-arrival (DoA) of multiple
narrowband signals with a uniform linear array in a coherent environment. First, the …

Although traditional subspace direction of arrival (DOA) algorithms enable super-resolution,
the algorithm performance declines sharply when the number of sources is incorrectly …

ESPRIT-like algorithm and its variants are widely used in preprocessing schemes that
provide high performance of high-resolution parameter estimation algorithms for coherent …

Linear sparse antenna arrays have been widely studied in array processing literature. They
belong to the general class of non-uniform linear arrays (NULAs). Sparse arrays need fewer …

It is known that classical subspace-based direction-of-arrival (DOA) estimation algorithms
are not straightforwardly applicable to scenarios with unknown spatially nonuniform noise …

In this paper, a new direction-of-arrival (DOA) estimation method based on multiple Toeplitz
matrices reconstruction is proposed for coherent narrowband signals with a uniform linear …

In this paper, we propose a parameter estimation method for multiple-input-multiple-output
(MIMO) automotive radars that consists of two stages. The first stage is a low-complexity …

A novel efficient coherent direction-of-arrival (DOA) estimation method is devised in this
article. First, a new cost function without the knowledge of source number is developed …

The matrix reconstruction technique can effectively estimate the direction-of-arrival (DOA) of
coherent signals with a relatively small computational complexity. However, the existing …