Conference proceeding
Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements
2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), pp 454-459
Jun 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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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Details
- Title
- Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements
- Creators
- Aki Hakkarainen - Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, FinlandJanis Werner - Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, FinlandNikhil Gulati - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USADamiano Patron - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USADoug Pfeil - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USAHenna Paaso - VTT Tech. Res. Centre of Finland, Oulu, FinlandAarne Mammela - VTT Tech. Res. Centre of Finland, Oulu, FinlandKapil Dandekar - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USAMikko Valkama - Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
- Publication Details
- 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), pp 454-459
- Publisher
- ICST
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000343594900076
- Scopus ID
- 2-s2.0-84905025902
- Other Identifier
- 991014878534504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic
- Telecommunications