Maneuvering model for man-tracking using particle filters in wireless sensor network

  • Authors:

  • Zi-Xi Jia;Cheng-Dong Wu;Yun-Zhou Zhang;Xiao-Zhe Wang

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

The trajectory of moving people is always random and flexible, which requires the motion model should be more complicated than general motion model, and a dynamical model suitable for maneuvering object is introduced in this paper. The dynamic model named maneuvering model is expressed in terms of the intrinsic coordinate frame for the target and is a good example of a nonlinear model, so we apply particle filter which has good performance in target tracking to track mobile people in WSN (wireless sensor network). According to our computer simulation, we consider that our tracking approach using maneuvering model is more robust and performs more consistently than that with general motion model.