Accurate position service based on interacting multiple model (IMM) with unscented Kalman filter

Jun Li; Yuan Cao; Nan Wu; Xiangdong Li

doi:10.1117/12.887152

24 May 2011 Accurate position service based on interacting multiple model (IMM) with unscented Kalman filter

Jun Li, Yuan Cao, Nan Wu, Xiangdong Li

Proceedings Volume 8061, Wireless Sensing, Localization, and Processing VI; 80610I (2011) https://doi.org/10.1117/12.887152
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Jun Li, Yuan Cao, Nan Wu, and Xiangdong Li "Accurate position service based on interacting multiple model (IMM) with unscented Kalman filter", Proc. SPIE 8061, Wireless Sensing, Localization, and Processing VI, 80610I (24 May 2011); https://doi.org/10.1117/12.887152

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