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Proceedings Paper

Accurate position service based on interacting multiple model (IMM) with unscented Kalman filter
Author(s): Jun Li; Yuan Cao; Nan Wu; Xiangdong Li
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Paper Abstract

In our previous paper, we studied a model of location based service (LBS) in a wireless sensor network. In this paper, we study a post-data process of the motion-trace data of an object with the proposed model, which is based on the aforementioned model. Compared with the one which uses a single model to describe the motion traces, the Interacting Multiple Model (IMM) with Unscented Kalman lter (UKF) provides a powerful framework when tracking a motion object with the position service in a LBS tracking system. We study an UKF based algorithm applied to smooth the trace of a positioned object. The implementation of the locating device and the experiments conducted in the real applied scenarios are described in this paper.

Paper Details

Date Published: 24 May 2011
PDF: 9 pages
Proc. SPIE 8061, Wireless Sensing, Localization, and Processing VI, 80610I (24 May 2011); doi: 10.1117/12.887152
Show Author Affiliations
Jun Li, Nanjing Univ. (China)
Yuan Cao, Nanjing Univ. (China)
Nan Wu, Nanjing Univ. (China)
Xiangdong Li, The City Univ. of New York (United States)

Published in SPIE Proceedings Vol. 8061:
Wireless Sensing, Localization, and Processing VI
Sohail A. Dianat; Michael David Zoltowski, Editor(s)

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