This paper presents a new computationally efficient method for direction-of-arrival (DOA)
estimation with arbitrary arrays. The total angular field-of-view is first divided into several …

Most of the existing methods for direction-of-arrival (DOA) estimation are based on
numerical characteristics behind the entire array output covariance matrix (AOCM). Since …

Multiple signal classification (MUSIC) can be seen as one of the most popular solutions to
the direction-of-arrival estimation problem in array signal processing. Traditionally, this …

The multiple signal classification (MUSIC) algorithm is a promising method for the plethora
of problems related to the direction-of-arrival (DOA) estimation. Conventionally, this …

This paper presents a new direction-of-arrival (DOA) estimation algorithm, where DOA
estimation is realized in the framework of beamforming by introducing a new optimization …

Subspace based direction-of-arrival (DOA) estimation has motivated many performance
studies, but limitations such as the assumption of an infinite amount of data and analysis of …

This work addresses the direction-of-arrival (DOA) estimation issue with multiple
noncoherent subarrays. We use a maximum likelihood approach to derive a weighted …

A novel real-valued formulation of the popular root multiple signal classification (root-
MUSIC) direction of arrival (DOA) estimation technique with substantially reduced …

This paper proposes the use of a new generalized asymptotic paradigm in order to analyze
the performance of subspace-based direction-of-arrival (DoA) estimation in array signal …

This paper describes several new techniques for direction of arrival (DOA) estimation using
arrays composed of multiple translated and uncalibrated subarrays. The new algorithms can …