An Integrated Platform for Source Detection, Identification and Localization with Applications to Cognitive-Radio
Ioannis Dagres, A. Polydoros, Daniel Denkovski, Valentin Rakovic, Vladimir M. Atanasovski, Liljana M. Gavrilovska, Krzysztof Cichoń, Adrian Kliks, Shaswar Baban, Oliver Holland · Research Portal (King's College London) · 2013
The creation of an integrated statistical-inference platform is proposed within the context of the Acropolis Network of Excellence. This platform will address aspects related to source detection, identification and localization, techniques useful in wireless-network coexistence and opportunistic spectral access. Its purpose is to integrate algorithms related to these topics under a common framework. The integration of such algorithms and the adoption of a common simulation/experimentation platform for assessing all related research will therefore be the main target of this project. The present paper is a first step of this effort, where all related algorithmic solutions available within Acropolis are presented and compared with the state of the art. The architecture of an existing experimental platform already employed for assessing some of the proposed solutions is also described.