A comparison of Kalman-based schemes for localization and tracking in sensor systems

Author

Patiño, Julián Alberto ; Espinosa, Jairo J. ; Correa, Rosa E.

Author_Institution

Fac. de Minas, Univ. Nac. de Colombia, Medellín, Colombia

fYear

2010

fDate

15-17 Sept. 2010

Firstpage

1

Lastpage

5

Abstract

The challenge of target tracking is one of the most important applications of WSNs (Wireless Sensor Networks). Traditionally, Kalman filter and its derivatives are some of the most popular algorithms for solving the signal tracking problem. In a WSNs tracking application, the target motion and state update dynamics might be modelled by linear or non-linear structures depending on the specific scenario. This paper compares extended Kalman Filters with the P, PV and PVA dynamics models for object tracking in sensor networks.

Keywords

Kalman filters; tracking; wireless sensor networks; PVA dynamics model; WSN tracking application; extended Kalman filter; object tracking; sensor system; signal tracking problem; state update dynamics; target tracking; wireless sensor networks; Equations; Estimation; Kalman filters; Mathematical model; Target tracking; Wireless sensor networks; Extended Kalman Filter; Kalman filtering; estimation; localization; sensor networks; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (LATINCOM), 2010 IEEE Latin-American Conference on

Conference_Location

Bogota

Print_ISBN

978-1-4244-7171-3

Type

conf

DOI

10.1109/LATINCOM.2010.5640986

Filename

5640986