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Power and Direction of Transmission Estimation for a Directive Source: Identifiability Analysis and Estimation Algorithm
Maleki, Sina; Ciblat, Philippe; Shankar, Bhavani et al.
2016In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
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Keywords :
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 center :
SnT
Disciplines :
Electrical & electronics engineering
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)
External co-authors :
yes
Language :
English
Title :
Power and Direction of Transmission Estimation for a Directive Source: Identifiability Analysis and Estimation Algorithm
Publication date :
2016
Event name :
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Event organizer :
IEEE
Event place :
Rio de Janiro, Brazil
Event date :
10-07-2016 to 13-07-2016
Audience :
International
Main work title :
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Peer reviewed :
Peer reviewed
FnR Project :
FNR8225172 - Satellite Sensor Networks For Spectrum Monitoring, 2014 (01/04/2015-31/03/2018) - Symeon Chatzinotas
Name of the research project :
SATSENT
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 30 June 2016

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