Mobile Localization And Tracking With Los And Nlos Identification In Wireless Sensor Networks

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate t...

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Veröffentlicht in:	International journal on smart sensing and intelligent systems 2016-06, Vol.9 (2), p.1054-1072
Hauptverfasser:	Benkouider, Y. K., Keche, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias estimation Divided Difference Kalman Filter Hypothesis testing Kalman filters Line of sight Localization Non Line of Sight Nonlinear filters Tracking Unscented Kalman Filter Wireless Sensor Network Wireless sensor networks
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