Point positioning and direction of arrival (DOA) localization require separate estimators,
depending on whether the source is near or distant from the sensors. The use of modified …

This paper addresses the issue of two-dimensional (2-D) direction of arrival (DOA)
estimation with coprime planar arrays (CPPAs) via sparse representation. Our work differs …

Existing real-valued subspace-based direction of arrival (DOA) estimation methods mainly
face two problems: the limitations of uniform linear array (ULA) in practical applications and …

Direction-of-arrival (DOA) estimation is a problem of significance in many applications. In
practice, due to the occurrence of coherent signals and/or when the number of available …

In the scenario of ambient noise, the noise powers received by the pressure and velocity
components in an underwater acoustic vector sensor (AVS) array are unequal. This paper …

The uniform white noise assumption is one of the basic assumptions in most of the existing
direction-of-arrival (DOA) estimation methods. In many applications, however, the …

This paper investigates the localization of multiple near-field narrowband sources with a
symmetric uniform linear array, and a new linear prediction approach based on the …

In this article, an augmented subspace-based algorithm for detecting the direction of arrival
(DOA) of signals is presented. In the developed scheme, a uniform circular antenna array …

Performance of direction of arrival (DOA) estimation is one of the most important issues in
array signal processing. Subspace-based algorithms provide a good compromise between …

In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA)
estimation that iteratively reduces the disturbance factors of the estimated data covariance …