par Van der Vorst, Thomas 
;Van Eeckhaute, Mathieu ;Benlarbi-Delaï, Aziz ;Sarrazin, Julien S. J.;Quitin, François ;Horlin, François ;De Doncker, Philippe
Référence Workshop on Dependable Wireless Communications and Localization for the IoT, COST IRACON-WS (12-14 September, 2017: Graz, Austria)
Publication Non publié, 2017-09
;Van Eeckhaute, Mathieu ;Benlarbi-Delaï, Aziz ;Sarrazin, Julien S. J.;Quitin, François ;Horlin, François ;De Doncker, Philippe Référence Workshop on Dependable Wireless Communications and Localization for the IoT, COST IRACON-WS (12-14 September, 2017: Graz, Austria)
Publication Non publié, 2017-09
Communication à un colloque
| Résumé : | In this paper, polynomial chaos expansions areapplied to angle-of-arrival based localization. By using a polynomialchaos expansion on a least squares estimator, a newpositioning method is designed. Simulation results show that theproposed method returns precise information about the statisticaldistribution of the position. |
