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Distributed and Adaptive Target Tracking with a Sensor Network

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posted on 10.06.2019 by Michael A. Jacobs
Ensuring the robustness and resilience of safety-critical systems from civil aviation to military surveillance technologies requires improvements to target tracking capabilities. Implementing target tracking as a distributed function can improve the quality and availability of information for end users. Any errors in the model of a target's dynamics or a sensor network's measurement process will result in estimates with degraded accuracy or even filter divergence. This dissertation solves a distributed estimation problem for estimating the state of a dynamical system and the parameters defining a model of that system.
The novelty of this work lies in the ability of a sensor network to maintain consensus on state and parameter estimates through local communications between sensor platforms.

History

Degree Type

Doctor of Philosophy

Department

Aeronautics and Astronautics

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Daniel DeLaurentis

Additional Committee Member 2

Arthur Frazho

Additional Committee Member 3

Inseok Hwang

Additional Committee Member 4

Shreyas Sundaram

Licence

Exports