A Fast Two-Dimensional Direction-of-Arrival Estimator Using Array Manifold Matrix Learning

A Fast Two-Dimensional Direction-of-Arrival Estimator Using Array Manifold Matrix Learning

Sparsity-based methods for two-dimensional (2D) direction-of-arrival (DOA) estimation often suffer from high computational complexity due to the large array manifold dictionaries. This paper proposes a fast 2D DOA estimator using array manifold matrix learning, where source-associated grid points ar...

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Bibliographic Details
Main Authors: Jieyi Lu, Long Yang, Yixin Yang, Lu Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
DOA estimation
array manifold matrix learning
marginal likelihood maximization
Bayesian model
planar arrays
2D fast Fourier transform
Online Access:https://www.mdpi.com/2072-4292/16/24/4654
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