The calculation of eigenvalues of a matrix is required by many algorithms. Specifically, it is
the key technique in subspace-based direction of arrival (DOA) estimation algorithms, eg …

A novel real-valued root multiple signal classification (RV-root-MUSIC) algorithm for
estimating the direction-of-arrival (DOA) of multiple narrow-band signals is presented …

As a classical DOA (direction of arrival) estimation algorithm, the multiple signal
classification (MUSIC) algorithm can estimate the direction of signal incidence. A major …

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 …

The performance of multiple signal classification (MUSIC) algorithm with regard to solving
closely spaced direction of arrivals (DOAs) depends strongly upon the signal-to-noise ratio …

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

ABSTRACT A fast algorithm for DOA estimation without eigendecomposition is proposed.
Unlike the available propagation method (PM), the proposed method need only use partial …

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 …

Multiple Signal Classification (MUSIC) is a high-performance Direction of Arrival (DOA)
estimation algorithm, which has been widely used. The algorithm needs to calculate the …

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