This paper investigates the consistency of the LASSO-based DOA estimation of the narrow-band signals in infinitely high SNR. Such a method provides a robust and accurate approximation of the Maximum Likelihood estimation. However, as we show, unlike the standard techniques such as subspace methods the LASSO-based estimation is generally not consistent in high SNRs. In return, considering the true DOA's, we show that the method is consistent for certain configuration of the sources. This approach leads us to relate such a conditional consistency to the resolution concept. We next give a condition to verify the consistency of a given set of directions and simplify it to a computationally fast equivalent algorithm. The results show that the re...
Abstract—In this paper, we propose a sequential, fast DOA tracking technique using the measurements ...
This paper addresses performance characterization of a direction of arrival (DoA) estimator in the l...
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source s...
This paper investigates the consistency of the LASSO-based DOA estimation of the narrow-band signals...
On the resolution of the LASSO-based DOA estimation method This document has been downloaded from Ch...
The SPS-LASSO has recently been introduced as a solution to the problem of regularization parameter ...
Traditionally, high resolution spectral direction of arrival (DOA) estimation has been associated wi...
Traditionally, high resolution spectral direction of arrival (DOA) estimation has been associated wi...
The direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framew...
In this paper, we propose a sequential, fast DOA tracking technique using the measurements of a unif...
The goal of array processing is to gather information from propagating radio-wave signals, as their ...
Direction of arrival (DoA) estimation is a major topic investigated in smart antenna and array signa...
We investigate the maximum likelihood (ML) direction-of-arrival (DOA) estimation of multiple wideban...
This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the c...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
Abstract—In this paper, we propose a sequential, fast DOA tracking technique using the measurements ...
This paper addresses performance characterization of a direction of arrival (DoA) estimator in the l...
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source s...
This paper investigates the consistency of the LASSO-based DOA estimation of the narrow-band signals...
On the resolution of the LASSO-based DOA estimation method This document has been downloaded from Ch...
The SPS-LASSO has recently been introduced as a solution to the problem of regularization parameter ...
Traditionally, high resolution spectral direction of arrival (DOA) estimation has been associated wi...
Traditionally, high resolution spectral direction of arrival (DOA) estimation has been associated wi...
The direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framew...
In this paper, we propose a sequential, fast DOA tracking technique using the measurements of a unif...
The goal of array processing is to gather information from propagating radio-wave signals, as their ...
Direction of arrival (DoA) estimation is a major topic investigated in smart antenna and array signa...
We investigate the maximum likelihood (ML) direction-of-arrival (DOA) estimation of multiple wideban...
This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the c...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
Abstract—In this paper, we propose a sequential, fast DOA tracking technique using the measurements ...
This paper addresses performance characterization of a direction of arrival (DoA) estimator in the l...
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source s...