A new interacting multiple model particle filter based ballistic missile tracking method

Yu, Miao (2017) A new interacting multiple model particle filter based ballistic missile tracking method. In: 3rd International Conference on Frontiers of Signal Processing (ICFSP 2017), 6 - 8 September 2017, Paris, France.

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Item Type:Conference or Workshop contribution (Presentation)
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Abstract

This paper proposes a new method for tracking
the whole trajectory of a ballistic missile from launch to
impact on the ground. Multiple state models are applied for
the ballistic missile movement descriptions during different
phases, while the transition probabilities are modelled in a
state-dependent way. A radar sensor is applied to obtain
the missile range, azimuth angle and elevation angle measurements.
Based on the state models and measurements,
an interacting multiple model based particle filter method
is applied for tracking. Simulation studies show that the
proposed method outperforms the widely-applied extended
Kalman filtering based interacting multiple model for tracking
the ballistic missile.

Keywords:ballistic missile tracking, multiple model, particle filtering, state dependent
Subjects:G Mathematical and Computer Sciences > G330 Stochastic Processes
G Mathematical and Computer Sciences > G120 Applied Mathematics
Divisions:College of Science > School of Computer Science
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ID Code:29440
Deposited On:15 Nov 2017 06:53

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