In this paper we consider cooperative localization and tracking of primary users (PU) in a cognitive radio network using Bayesian techniques. We use particle filtering methods to track the location of a PU in the network using cooperative localization techniques and present some results for noisy measurements. The cognitive radio (CR) nodes estimate the information related to the geographical position of the PU based on existing location identification and localization techniques and forward the noisy information to a cognitive radio base station (CRB), which then fuses the information to estimate the position of the PU in the network in order to perform a radio scene analysis. We propose a particle filtering approach that is suitable for tracking Gaussian and non-Gaussian noisy signals at the CRB to estimate the position of a PU, two importance-functions relative to the particle filtering algorithm are also presented. Simulations are performed on the proposed tracking algorithm and the results are presented in terms of the mean squared error of the positional estimates.
|Title of host publication||IEEE 69th Vehicular Technology Conference, VTC Spring 2009|
|Editors||J. Nasreddine, J. Perez-Romero, J. Sallent|
|Place of Publication||Piscataway, NJ|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||5|
|Publication status||Published - 2009|
|Event||VTC Spring 2009 - IEEE 69th Vehicular Technology Conference - Barcelona, Spain|
Duration: 26 Apr 2009 → 29 Apr 2009
|Other||VTC Spring 2009 - IEEE 69th Vehicular Technology Conference|
|Period||26/04/09 → 29/04/09|
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- Bayesian phase tracking
- Cognitive radios
- Cooperative localization and tracking
- Particle filter