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Least Squares Interacting Multiple Model Algorithm for Passive Multi-sensor Maneuvering Target Tracking

  • Liping Song
  • Hongbing Ji
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

In bearings-only passive target tracking, the state of the target has a nonlinear relation with the bearings measurements. Existing methods are mainly focus on the process of linearization. However, in this process, precision decreasing is obviously unavoidable and even filter divergence will be occur so as to losing the target. Therefore a new algorithm is proposed in the paper. The state of the target is approximately estimated by least squares at first which is taken as pseudo measurements for kalman filter, and then IMM algorithm is employed for maneuvering target tracking.

Keywords

Kalman Filter Target Tracking Passive Sensor Maneuvering Target Bearing Measurement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liping Song
    • 1
  • Hongbing Ji
    • 1
  1. 1.School of Electronic EngineeringXidian Univ.Xi’anChina

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