Purdue University Graduate School
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Distributed and Adaptive Target Tracking with a Sensor Network

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thesis
posted on 2019-06-10, 17:13 authored by Michael A. JacobsMichael 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