We propose a new subspace-based localization of far-field (FF) and near-field (NF)
narrowband signals (LOFNS) without eigendecomposition impinging on a symmetrical …

We propose a new scheme to estimate the directions-of-arrival (DOAs) of mixed coherent
and uncorrelated targets exploiting a collocated multiple-input multiple-output (MIMO) radar …

Direction-of-arrival (DOA) estimation is an important problem in array signal processing. An
effective spatial differencing method is addressed, for the DOA estimation problem of a …

Sparse sensor arrays have attracted considerable attention in various fields such as radar,
array processing, ultrasound imaging and communications. In the context of correlation …

Sparse arrays, where the sensors are properly placed with nonuniform spacing, are able to
resolve more uncorrelated sources than sensors. This ability arises from the property that the …

This paper addresses the source association (SA), direction of arrival (DOA), and fading
coefficients (FCs) estimation problem in multipath environment. First, we establish a rank …

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 …

This paper deals with the two-dimensional (2-D) direction-of-arrival (DOA) estimation of a
mixture of noncoherent (including uncorrelated and partially correlated) and coherent (ie …

The recent trend of research on direction-of-arrival estimation is to localize more
uncorrelated sources than sensors by using a proper sparse linear array (SLA) at the cost of …

There is rarely a method that can deal with the direction of arrival (DOA) estimation of
coherent signals in the presence of unknown mutual coupling. Based on the special …