A survey of Direction of Arrival estimation techniques and implementation of channel estimation based on SCME

Barua, S; Lam, SC; Ghosa, P; Xing, S; Sandrasegaran, K

A survey of Direction of Arrival estimation techniques and implementation of channel estimation based on SCME

Barua, S Lam, SC

Ghosa, P Xing, S Sandrasegaran, K

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Publication Type:: Conference Proceeding
Citation:: ECTI-CON 2015 - 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2015
Issue Date:: 2015-08-17

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Field	Value	Language
dc.contributor.author	Barua, S	en_US
dc.contributor.author	Lam, SC https://orcid.org/0000-0003-4546-3378	en_US
dc.contributor.author	Ghosa, P	en_US
dc.contributor.author	Xing, S	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.date.issued	2015-08-17	en_US
dc.identifier.citation	ECTI-CON 2015 - 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2015	en_US
dc.identifier.isbn	9781479979608	en_US
dc.identifier.uri	http://hdl.handle.net/10453/37478
dc.description.abstract	© 2015 IEEE. In this paper, basics of Direction of Arrival (DOA) estimation techniques were reviewed along with simulated results. It justifies the pros and cons of each technique. The purposes of using smart antenna system in this paper are regarded with the respect of DOA estimation, Path Delays estimation, and accurate channel estimation between a transmitter and an array of receivers. Considering the uplink transmission system, a source antenna transmits a signal and a group of antennas placed uniformly receives the signal. Then the target was to perform the common DOA estimation techniques to analyze the source signal. Since the Long Term Evolution (LTE) is the currently available standard, this model was used to estimate the channel with the help of a 2D harmonic model. Spatial Channel Model was considered for the simulation and finally, a uniform rectangular array model is compared with a multipath channel equation to estimate the channel.	en_US
dc.relation.ispartof	ECTI-CON 2015 - 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology	en_US
dc.relation.isbasedon	10.1109/ECTICon.2015.7206986	en_US
dc.title	A survey of Direction of Arrival estimation techniques and implementation of channel estimation based on SCME	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Hua Hin, Thailand
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 - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. In this paper, basics of Direction of Arrival (DOA) estimation techniques were reviewed along with simulated results. It justifies the pros and cons of each technique. The purposes of using smart antenna system in this paper are regarded with the respect of DOA estimation, Path Delays estimation, and accurate channel estimation between a transmitter and an array of receivers. Considering the uplink transmission system, a source antenna transmits a signal and a group of antennas placed uniformly receives the signal. Then the target was to perform the common DOA estimation techniques to analyze the source signal. Since the Long Term Evolution (LTE) is the currently available standard, this model was used to estimate the channel with the help of a 2D harmonic model. Spatial Channel Model was considered for the simulation and finally, a uniform rectangular array model is compared with a multipath channel equation to estimate the channel.

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http://hdl.handle.net/10453/37478