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Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements
Conference proceeding   Open access

Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements

Aki Hakkarainen, Janis Werner, Nikhil Gulati, Damiano Patron, Doug Pfeil, Henna Paaso, Aarne Mammela, Kapil Dandekar and Mikko Valkama
2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), pp 454-459
Jun 2014
url
https://doi.org/10.4108/icst.crowncom.2014.255730View
Published, Version of Record (VoR) Open

Abstract

Antenna measurements localization low complexity Direction-of-arrival estimation reconfigurable antennas leaky-wave antennas Estimation Stansfield algorithm Directive antennas Cognitive radio Antenna radiation patterns measurements
This paper addresses low-complexity algorithms and evaluates the practical performance of low-complexity primary user (PU) direction of arrival (DoA) estimation and PU localization with real world indoor measurement data. More specifically, we use a type of reconfigurable antenna known as leaky-wave antennas to sense the spatial distribution of the PU signal power. By deploying a very low-complexity algorithm, called MaxE, the secondary user (SU) sensors are then able to estimate their respective PU DoAs. Finally, a central fusion center combines the DoAs into a PU location estimate. The results of the practical measurements reveal that it is possible to implement a localization system with very low complexity and fairly good PU location capabilities in a cognitive radio network. Such PU localization capabilities can then be used, e.g. for enhanced PU interference management.

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12 citations in Scopus

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Collaboration types
Domestic collaboration
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Web of Science research areas
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
Telecommunications
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