Abstract-In this paper some new experimental results about the statistical characterization of the non-line-oJ-sight (NLOS) bias affecting time-oj-arrival (TOA) estimation in ultrawideband (UWB) wireless localization systems are illustrated. Then, these results are exploited to assess the performance of variousmaximum-likelihood (ML) based algorithms for joint TOA localization and NLOS bias mitigation. Our numerical results evidence that the accuracy of all the considered algorithms is appreciably influenced by the LOSINLOS conditions of the propagation environment.
Statistical characterization and mitigation of NLOS errors in UWB localization systems / Montorsi, Francesco; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - In: ADVANCES IN ELECTRONICS AND TELECOMMUNICATIONS. - ISSN 2081-8580. - STAMPA. - 2:(2011), pp. 86-90. (Intervento presentato al convegno 2011 IEEE International Conference on Ultra-Wideband, ICUWB 2011 tenutosi a Bologna, ita nel 14-16 Sept. 2011) [10.1109/ICUWB.2011.6058928].
Statistical characterization and mitigation of NLOS errors in UWB localization systems
MONTORSI, FRANCESCO;PANCALDI, Fabrizio;VITETTA, Giorgio Matteo
2011
Abstract
Abstract-In this paper some new experimental results about the statistical characterization of the non-line-oJ-sight (NLOS) bias affecting time-oj-arrival (TOA) estimation in ultrawideband (UWB) wireless localization systems are illustrated. Then, these results are exploited to assess the performance of variousmaximum-likelihood (ML) based algorithms for joint TOA localization and NLOS bias mitigation. Our numerical results evidence that the accuracy of all the considered algorithms is appreciably influenced by the LOSINLOS conditions of the propagation environment.
| File | Dimensione | Formato | |
|---|---|---|---|
|
ATE_issue4_p0082.pdf
Accesso riservato
Tipologia:
AAM - Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione
1.78 MB
Formato
Adobe PDF
|
1.78 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
