We study the effect of spatial smoothing on the performance of the MUSIC algorithm for
directions-of-arrival estimation of partially and fully coherent sources. We show that spatial …

Spatial smoothing is a widely used preprocessing scheme for direction-of-arrival (DOA)
estimation of more than one source from a single snapshot, although the effective array …

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 …

Recently, direction-of-arrival estimation (DOA) algorithms based on arbitrary even-order (2
q) cumulants of the received data have been proposed, giving rise to new DOA estimation …

DOA estimation plays an important role in array signal processing, and has a wide range of
application. In this thesis, I will describe what DOA (Direction of arrival) estimation is, and …

We develop a new subspace direction-of-arrival (DOA) estimation procedure that utilizes a
noneigenvector basis. Computation of the basis is carried out by a modified version of the …

Direction of arrival (DOA) estimation using coprime array is studied, and an extended-
aperture unitary root multiple signal classification (MUSIC)-based method is proposed. The …

Classical methods of DOA estimation such as the MUSIC algorithm are based on estimating
the signal and noise subspaces from the sample covariance matrix. For a small number of …

A family of algorithms, named ℓ p-MUSIC, for direction-of-arrival (DOA) estimation in
impulsive noise is proposed. The ℓ p-MUSIC estimator adopts the ℓ p-norm (1≤ p 2) of the …

The multiple signal classification (MUSIC) algorithm based on spatial time-frequency
distribution (STFD) has been investigated for direction of arrival (DOA) estimation of closely …