Low Complexity Antenna Array DOA System for Localization Applications

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Al-Sadoon, M. A. G., Asif, R., Bin-Melha, M. S., Obeidat, H., Zweid, A., Noras, J. M. and Abd-Alhameed, R. A. (2019) Low Complexity Antenna Array DOA System for Localization Applications. In: Proceedings - 2018 International Conference on Wireless Networks and Mobile Communications, WINCOM 2018. Proceedings - 2018 International Conference on Wireless Networks and Mobile Communications, WINCOM 2018 . The Institute of Electrical and Electronics Engineers (IEEE), MAR. ISBN 9781538673300

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Abstract

This paper presents a low complexity antenna array direction of arrival (DOA) for localization applications in dense environments where GPS localization performance becomes unreliable or unavailable. Thus, a new-efficient angle of arrival (AOA) method called minimum variance noise (MVN) is proposed. The MVN method is based on minimizing the output noise variance of an antenna array; the Lagrange optimization technique is utilized to obtain the optimum weights. Then, the new AOA method is integrated with Orthogonal Frequency Division Multiplexing (OFDM) scheme to improve the estimation accuracy. The produced scheme is combined with a compact-size omnidirectional conical normal mode helical antenna array for supporting the front end model. University of Brad-ford campus is modeled and used as a testbed to evaluate the performance estimation of the proposed localization system. The experiment results are presented and discussed.

Item Type:	Book Section
Additional Information:	Publisher Copyright: © 2018 IEEE.
Uncontrolled Keywords:	conical antenna array,aoa) estimation,localization,minimum variance,multipath channel,ofdm,tracking systems,wireless communication,computer networks and communications,communication ,/dk/atira/pure/subjectarea/asjc/1700/1705
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	23 Aug 2022 13:30
Last Modified:	14 Mar 2023 08:38
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87568
DOI:	10.1109/WINCOM.2018.8629656

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