The Direction of Arrival (DOA) estimation under impulsive noise environments remains open in the field of array signal processing. Inspired by the advantage of correntropy which exhibits a ‘robust statistics’ property, this paper proposes a new operator, namely, the correntropy based correlation (CRCO), for independent and identically distributed (i.i.d) symmetric alpha-stable ðSαSÞ random vari...

We briefly introduce the conditional and unconditional estimation models for estimating the direction of arrivals (DoA) in array processing. The key differences are explained and the performance of the maximum likelihood estimate under these two models is discussed. In depth discussion and references can be found in [1]. It is also noted that these two models are not just limited to DoA estimat...

Coprime array, which utilizes a coprime pair of uniform linear subarrays, is an attractive structure to achieve sparse array configurations. Alternatively, effective coprime array configurations can be implemented using a uniform linear array with two coprime sensing frequencies. This enables the integration of the coprime array and filter concepts to achieve high capabilities in meeting system...

INTRODUCTION Evaluation is a problem which those involved in the field of didactics constantly face. Indeed, an analysis of the results is the only way to evaluate whether or not a particular teaching/learning process has been effective and, consequently, where to intervene. Various statistical approaches can be used in an evaluation and it is often quite useful to analyse the same data using d...

In recent years, much attention has been focused on difference co-array perspective in DOA estimation field due to its ability to increase the degrees of freedom and to detect more sources than sensors. In this article, a fractional difference co-array perspective (FrDCA) is proposed by vectorizing structured second-order statistics matrices instead of conventional zero-lag covariance matrix. A...

This paper addresses subspace-based direction of arrival (DOA) estimation and its purpose is to complement previously available theoretical results generally obtained for specific algorithms. We focus on asymptotically (in the number of measurements) minimum variance (AMV) estimators based on estimates of orthogonal projectors obtained from singular value decompositions of sample covariance mat...

This paper presents an effective antenna array based on MUSIC algorithm for two-dimensional direction-of-arrival estimation of multiple narrow-band sources impinging on the far field of the antenna array. Compared with the previous work, the proposed array can improve the performance of MUSIC algorithm, such as it can resolve the incoming rays with very close azimuth angles or very close elevat...

We address the problem of data independent robust array interpolation over large angular sectors. Previous interpolation methods apply the root-MUSIC principle to interpolation data of a predefined virtual ULA manifold. These methods either suffer from severely biased direction-ofarrival estimates due to interpolation errors or rely on data dependent interpolation matrix design. In this paper a...

A canonical space–time characterization of mobile wireless channels is introduced in terms of a fixed basis that is independent of the true channel parameters. The basis captures the essential degrees of freedom in the received signal using discrete multipath delays, Doppler shifts, and directions of arrival (DOA). The canonical representation provides a robust representation of the propagation...

This paper considers the direction-of-arrival (DOA) estimation identifiability problem for uncorrelated Gaussian sources and nonuniform antenna arrays. It is now known that sparse arrays always suffer from manifold ambiguity, which arises due to linear dependence amongst the columns of the array manifold matrix (the “steering vectors”). While the standard subspace DOA estimation algorithms such...