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Joint estimation of direction of departure and direction of arrival for multiple-input multiple-output radar based on improved joint ESPRIT method

Title
Joint estimation of direction of departure and direction of arrival for multiple-input multiple-output radar based on improved joint ESPRIT method
Author(s)
Oh, DaegunLi, Ying-chunKhodjaev, JasurbekChong, Jong-WhaLee, Jong-Hun
Issued Date
2015-03
Citation
IET Radar, Sonar and Navigation, v.9, no.3, pp.308 - 317
Type
Article
ISSN
1751-8784
Abstract
This study presents an improved joint estimation method of signal parameters via rotational invariance technique (ESPRIT) algorithm for low-complexity simultaneous estimation of direction of departure (DOD) and direction of arrival (DOA) in a multiple-input-multiple-output radar system. The proposed algorithm is based on a data matrix and estimates DOD and DOA without a pairing operation. The computational complexity of the proposed joint ESPRIT algorithm is derived to be less than that of conventional two dimension multiple signal classification (2D-MUSIC) and reduced dimension multiple signal classification. The authors' simulation results demonstrate that the proposed algorithm achieves performance very close to that of 2D-MUSIC and better performance than that of the ESPRIT algorithm. © The Institution of Engineering and Technology 2015.
URI
http://hdl.handle.net/20.500.11750/2928
DOI
10.1049/iet-rsn.2014.0069
Publisher
Institution of Engineering and Technology
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Appears in Collections:
Division of Intelligent Robot 1. Journal Articles
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Division of Automotive Technology 1. Journal Articles

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