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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Werner, J. Hakkarainen, A. Valkama, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland (Werner, J.; Hakkarainen, A.; Valkama, M.) |
| Abstract | In cognitive radio systems, the primary user location and transmit power are valuable information in order to create an efficient secondary network that uses spatial spectrum holes without introducing interference to the primary users. Since primary users cannot be assumed to cooperate, their locations and transmit powers need to be estimated at the secondary users. Existing localization techniques, based on the received signal strength require a high amount of secondary users in order to achieve a high accuracy while direction of arrival based methods alone suffer from the random secondary user positions and the requirements for making the associated devices portable. In this paper we propose a hybrid solution using an extended Kalman filter that is able to localize a moving primary user and estimate its transmit power under the aforementioned conditions. Its performance is compared to an extended Kalman filter that uses only direction of arrival estimation by means of Monte Carlo simulations, and shown to clearly outperform the DOA-only based processing. |
| Starting Page | 68 |
| Ending Page | 73 |
| File Size | 137418 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479907472 |
| e-ISBN | 9781479907496 |
| DOI | 10.1109/WONS.2013.6578323 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-18 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Geometry Direction-of-arrival estimation Correlation Estimation Vectors Kalman filters Shadow mapping |
| Content Type | Text |
| Resource Type | Article |
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