Bayesian Tracking in Cooperative Localization for Cognitive Radio Networks
- 1 April 2009
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15502252,p. 1-5
- https://doi.org/10.1109/vetecs.2009.5073417
Abstract
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.Keywords
This publication has 10 references indexed in Scilit:
- Cognitive radio: brain-empowered wireless communicationsIEEE Journal on Selected Areas in Communications, 2005
- Particle FilteringIEEE Signal Processing Magazine, 2003
- Phase detector models and their performances for IF/baseband frequency recovery for complex envelope based DSP implemented PLLPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A maximum-likelihood parametric approach to source localizationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Maximum likelihood methods for bearings-only target localizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingIEEE Transactions on Signal Processing, 2002
- Optimization of observer trajectories for bearings-only target localizationIEEE Transactions on Aerospace and Electronic Systems, 1999
- Cognitive radio: making software radios more personalIEEE Wireless Communications, 1999
- Frequency Independent Nonlinear Feedforward Phase EstimatorWireless Personal Communications, 1997
- Digital signal processing for sonarProceedings of the IEEE, 1981