Reference : Power and Direction of Transmission Estimation for a Directive Source: Identifiabilit...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/27808

Title :	Power and Direction of Transmission Estimation for a Directive Source: Identifiability Analysis and Estimation Algorithm
Language :	English
Author, co-author :	Maleki, Sina [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ciblat, Philippe []
	Shankar, Bhavani [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2016
Main document title :	2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Peer reviewed :	Yes
Audience :	International
Event name :	2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Event date :	10-07-2016 to 13-07-2016
Event organizer :	IEEE
Event place (city) :	Rio de Janiro
Event country :	Brazil
Keywords :	[en] Direction of transmission (DoT) ; ML estimation ; directive source ; cognitive radio ; spectrum cartography
Abstract :	[en] Reliable spectrum cartography of directive sources depends on an accurate estimation of the direction of transmission (DoT) as well as the transmission power. Joint estimation of power and DoT of a directive source using ML estimation techniques is considered in this paper. We further analyze the parametric identifiability conditions of the problem, develop the estimation algorithm, and derive the Cramer-Rao-Bound (CRB).
Research centres :	SnT
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	SATSENT
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/27808
FnR project :	FnR ; FNR8225172 > Symeon CHATZINOTAS > SATSENT > SATellite SEnsor NeTworks for spectrum monitoring > 01/04/2015 > 31/03/2018 > 2014

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	Fulltext file(s): File Commentary Version Size Access Open access SAM 2016.pdf Author postprint 248.23 kB View/Open

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