Atom-Constrained Gridless DOA Refinement With Wirtinger Gradients

Atom-Constrained Gridless DOA Refinement With Wirtinger Gradients

This paper proposes gridless sparse direction-of-arrival (DOA) refinement using gradient-based optimization. The objective function minimizes the fit between the sample covariance matrix (SCM) and a reconstructed covariance matrix. The latter is constrained to contain only a few atoms, but otherwise...

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Bibliographic Details
Main Authors: Yongsung Park, Peter Gerstoft, Christoph F. Mecklenbrauker
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Atom-based signal recovery
direction of arrival (DOA) estimation
gridless estimation
covariance reconstruction
Wirtinger gradients
Online Access:https://ieeexplore.ieee.org/document/10750433/
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https://ieeexplore.ieee.org/document/10750433/

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