Dec 7, 2016 · This letter describes a computationally efficient root SBL method for off-grid DOA estimation, which adopts a coarse grid and considers the sampled locations ...

Dec 5, 2016 · In this letter, we try to propose a computationally efficient root SBL method for off-grid DOA estimation, which adopts a coarse grid and ...

Mar 14, 2023 · In this paper, we propose an improved root SBL (IRSBL) method for off-grid DOA estimation that adopts a coarse grid to generate an initial dictionary.

In this paper, a new root sparse Bayesian learning based DOA estimation method robust to gain-phase error is proposed, which dynamically adjusts the grid angle ...

This letter describes a computationally efficient root SBL method for off-grid DOA estimation, which adopts a coarse grid and considers the sampled ...

Jul 7, 2024 · We propose an improved DOA estimation algorithm based on off-grid root SBL and pseudo-noise resampling for massive MIMO systems.

The root off-grid sparse Bayesian learning (RSBL) algorithm has been proposed in [13] , which can achieve accurate DOA estimation with a low computational ...

To further improve the sparse estimation performance, an off-grid sparse Bayesian inference (OGSBI) method is first proposed in [29] for the DOA estimation.

This paper concerns direction of arrival (DOA) estimation based on a sparse Bayesian learning (SBL) approach. We address two inherent problems of this class ...

Therefore, we propose an improved DOA estimation algorithm based on off-grid root SBL and pseudo-noise resampling for massive MIMO systems. Firstly, to mitigate ...