In this manuscript new reduced complexity localization algorithms exploiting received signal strength measurements and based on the indoor map-aware statistical models illustrated in [1] are developed. Such algorithms exploit search domain reduction techniques and state of the art methods for numerical integration and optimization. Our numerical and experimental results evidence that theirs accuracy is very close to that offered by their optimal counterparts, in spite of their substantially lower computational complexity.
Reduced-complexity techniques for indoor map-aware localization / Montorsi, Francesco; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - STAMPA. - 1:(2015), pp. 766-772. (Intervento presentato al convegno 2015 IEEE International Conference on Communication tenutosi a London, UK nel 8-12 June 2015) [10.1109/ICCW.2015.7247274].
Reduced-complexity techniques for indoor map-aware localization
MONTORSI, FRANCESCO;PANCALDI, Fabrizio;VITETTA, Giorgio Matteo
2015
Abstract
In this manuscript new reduced complexity localization algorithms exploiting received signal strength measurements and based on the indoor map-aware statistical models illustrated in [1] are developed. Such algorithms exploit search domain reduction techniques and state of the art methods for numerical integration and optimization. Our numerical and experimental results evidence that theirs accuracy is very close to that offered by their optimal counterparts, in spite of their substantially lower computational complexity.
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