Motion Model Employment using interacting Motion Model Algorithm

Abstract

The paper presents a simulation study to track a maneuvering target using a selective approach in choosing Interacting Multiple Models (IMM) algorithm to provide a wider coverage to track such targets. Initially, there are two motion models in the system to track a target. Probability of each model being correct is computed through a likelihood function for each model. The study presented a simple technique to introduce additional models into the system using deterministic acceleration which basically defines the dynamics of the system. Therefore, based on this value more motion models can be employed to increase the coverage. Finally, the combined estimate is obtained using posteriori probabilities from different filter models. The implemented approach provides an adaptive scheme for selecting various number of motion models. Motion model description is important as it defines the kind of tracking system one is building, for example if a system is built based on the assumption of a straight line motion model then it can not track a maneuvering target.

Cite this paper

@article{hussain2006motion,
  title = {{Motion Model Employment using interacting Motion Model Algorithm}},
  author = {Hussain, Dil Muhammad Akbar},
  journal = {VBN Forskningsportal (Aalborg Universitet)},
  year = {2006}
}

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