Direction of Arrival Estimation by Matching Pursuit Algorithm With Subspace Information

Direction of Arrival Estimation by Matching Pursuit Algorithm With Subspace Information

Traditional orthogonal matching pursuit (OMP) algorithms for direction of arrival (DOA) estimation suffer from poor angular resolution and noise suppression. In this paper, we analyze the reason why the OMP algorithm has difficulties in resolving closely separated DOAs and conclude that it lies in t...

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Bibliographic Details
Main Authors: Yang Zhao, Si Qin, Yi-Ran Shi, Yao-Wu Shi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bearing estimation
compressed sensing
DOA
MMVOMP
multiple measurement vector
MUSIC
Online Access:https://ieeexplore.ieee.org/document/9326422/

Internet

https://ieeexplore.ieee.org/document/9326422/

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