Adaptive searching and tracking algorithm for AoA estimation in localized hybrid array

Zhang, JA; Huang, X; Guo, YJ

Adaptive searching and tracking algorithm for AoA estimation in localized hybrid array

Zhang, JA

Huang, X

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 1095 - 1100
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 1095 - 1100	en_US
dc.identifier.isbn	9781467363051	en_US
dc.identifier.uri	http://hdl.handle.net/10453/36702
dc.description.abstract	© 2015 IEEE. Angle-of-Arrival estimation in localized hybrid array is very challenging due to the phase ambiguity problem. A differential beam searching (DBS) algorithm was proposed to solve the problem. However, it converges slowly and suffers from a zigzag effect where estimates may jump between correct and wrong estimates. In this paper, we first propose an improved DBS algorithm to mitigate the zigzag effect. We then analyze the error sources for general DBS algorithms, and propose a new adaptive searching and tracking (AST) algorithm. By using carefully designed updating functions and exit conditions, the proposed AST algorithm allows automatic switching between searching and tracking modes, and can significantly speed up estimation process and reduce estimation error. Numerical results are provided to verify the effectiveness of the proposed schemes.	en_US
dc.relation.ispartof	2015 IEEE International Conference on Communication Workshop, ICCW 2015	en_US
dc.relation.isbasedon	10.1109/ICCW.2015.7247323	en_US
dc.title	Adaptive searching and tracking algorithm for AoA estimation in localized hybrid array	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	London, UK
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Angle-of-Arrival estimation in localized hybrid array is very challenging due to the phase ambiguity problem. A differential beam searching (DBS) algorithm was proposed to solve the problem. However, it converges slowly and suffers from a zigzag effect where estimates may jump between correct and wrong estimates. In this paper, we first propose an improved DBS algorithm to mitigate the zigzag effect. We then analyze the error sources for general DBS algorithms, and propose a new adaptive searching and tracking (AST) algorithm. By using carefully designed updating functions and exit conditions, the proposed AST algorithm allows automatic switching between searching and tracking modes, and can significantly speed up estimation process and reduce estimation error. Numerical results are provided to verify the effectiveness of the proposed schemes.

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http://hdl.handle.net/10453/36702