DOA estimation with extended sparse and parametric approach in multi-carrier MIMO HFSWR

DOA estimation with extended sparse and parametric approach in multi-carrier MIMO HFSWR

To obtain a higher angle resolution of multiple-in multiple-out high-frequency surface wave radar (MIMO HFSWR) for direction of arrival (DOA) estimation with a limited number of antenna sensors, multiple working frequencies are proposed to enlarge the aperture of the virtual array of the MIMO HFSWR....

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Bibliographic Details
Main Authors: Aihua Liu, Xin Zhang, Qiang Yang, Weibo Deng
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
array signal processing
direction-of-arrival estimation
matrix algebra
mimo radar
radar antennas
linear antenna arrays
vectors
antenna sensors
multiple working frequencies
virtual array
virtual received data vector
nonuniform linear array
vnla
single reference working frequency
doa estimation
array steering vector
vandermonde vector
extended sparse approach
multicarrier mimo hfswr
high-frequency surface wave radar
direction of arrival estimation
angle resolution
multiple-in multiple-out high-frequency surface wave radar
sparse and parametric approach
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0755

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0755

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