A technique for estimating the direction-of-arrival (DOA) of unknown number of source signals is presented using the eigen-approach. The eigenvector corresponding to the minimum eigenvalue of the autocorrelation matrix yields the minimum output power of the array. Also, the array polynomial with this eigenvector possesses roots on the unit circle. Therefore, the pseudo-spectrum is found by perturbing the phases of the roots one by one and calculating the corresponding array output power. The results indicate that the DOAs and the number of source signals are estimated accurately in the presence of a wide range of input noise levels
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
This dissertation deals with problems in the area of adaptive array processing for smart antenna and...
In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (...
This paper discusses the eigenproblems of correlation matrices in direction-of-arrival (DOA) estimat...
A computationally efficient method is proposed for estimating the directions-of-arrival (DOAs) of si...
Abstract: To circumvent the problem of performance degradation of direction of arrival (DOA) estimat...
This dissertation presents two new direction-of-arrival (DOA) estimation methods that require only a...
Abstract — A new method for direction-of-arrival (DOA) estimation of coherent signals is devised in ...
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer E...
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case ...
Direction of arrival (DoA) estimation is a major topic investigated in smart antenna and array signa...
A least squares estimation technique for finding the directions of arrival (DOAs) of signals corrupt...
A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
In this paper, we present an adaptive method to estimate the eigensubspace and directions-of-arrival...
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
This dissertation deals with problems in the area of adaptive array processing for smart antenna and...
In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (...
This paper discusses the eigenproblems of correlation matrices in direction-of-arrival (DOA) estimat...
A computationally efficient method is proposed for estimating the directions-of-arrival (DOAs) of si...
Abstract: To circumvent the problem of performance degradation of direction of arrival (DOA) estimat...
This dissertation presents two new direction-of-arrival (DOA) estimation methods that require only a...
Abstract — A new method for direction-of-arrival (DOA) estimation of coherent signals is devised in ...
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer E...
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case ...
Direction of arrival (DoA) estimation is a major topic investigated in smart antenna and array signa...
A least squares estimation technique for finding the directions of arrival (DOAs) of signals corrupt...
A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
In this paper, we present an adaptive method to estimate the eigensubspace and directions-of-arrival...
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
This dissertation deals with problems in the area of adaptive array processing for smart antenna and...
In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (...