This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix, and (iii) a polynomial version of the multiple signal classification algorithm. Simulation results comparing the accuracy of these methods are presented
In recent years, researchers have tried to estimate the direction-of-arrival (DOA) of wideband sourc...
Direction of arrival (DOA) estimation technology plays an important role in enhancing the performanc...
Polynomial matrix eigenvalue decomposition (PEVD) algorithms have been shown to enable a solution to...
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal ...
This paper reviews and compares three different linear algebraic signal subspace techniques for angl...
In this paper we study the impact of polynomial or broadband subspace decompositions on any subseque...
This paper reviews and compares three different linear algebraic signal subspace techniques for angl...
This thesis is concerned with the problem of broadband angle of arrival (AoA) estimation for sensor ...
The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of pol...
Direction of arrival algorithms which exploit the eigenstructure of the spatial covariance matrix (s...
Direction of arrival estimation is a crucial aspect of many active and passive systems, including ra...
The multiple signal classification (MUSIC) algorithm for direction of arrival estimation is defined ...
In this paper a comparative study, restricted to one-dimensional stationary case, between several Di...
This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) est...
This thesis reports investigation work on designing a direction-of-arrival estimator with broadband ...
In recent years, researchers have tried to estimate the direction-of-arrival (DOA) of wideband sourc...
Direction of arrival (DOA) estimation technology plays an important role in enhancing the performanc...
Polynomial matrix eigenvalue decomposition (PEVD) algorithms have been shown to enable a solution to...
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal ...
This paper reviews and compares three different linear algebraic signal subspace techniques for angl...
In this paper we study the impact of polynomial or broadband subspace decompositions on any subseque...
This paper reviews and compares three different linear algebraic signal subspace techniques for angl...
This thesis is concerned with the problem of broadband angle of arrival (AoA) estimation for sensor ...
The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of pol...
Direction of arrival algorithms which exploit the eigenstructure of the spatial covariance matrix (s...
Direction of arrival estimation is a crucial aspect of many active and passive systems, including ra...
The multiple signal classification (MUSIC) algorithm for direction of arrival estimation is defined ...
In this paper a comparative study, restricted to one-dimensional stationary case, between several Di...
This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) est...
This thesis reports investigation work on designing a direction-of-arrival estimator with broadband ...
In recent years, researchers have tried to estimate the direction-of-arrival (DOA) of wideband sourc...
Direction of arrival (DOA) estimation technology plays an important role in enhancing the performanc...
Polynomial matrix eigenvalue decomposition (PEVD) algorithms have been shown to enable a solution to...