Degradable Hardware MM Estimators for Resilient USV Search and Surveillance

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C22.pdf (530.93 KB)

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https://www.usna.edu/Users/weaprcon/rodrigue/pubs/C22.pdf

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http://hdl.handle.net/11603/27901

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

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Author/Creator ORCID

https://orcid.org/0000-0002-4649-3467
 https://orcid.org/0000-0003-2701-953X

Date

2023

Type of Work

journal articles
preprints
Text

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Citation of Original Publication

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

Subjects

Abstract

An Unmanned Surface Vehicle (USV) operates in an environment of constrained resources carrying enough power and computing to complete its mission. A cyber attack may primarily aim to degrade the USV’s computational devises and, ultimately, incapacitate its sensing systems. To build resilience against such casualties, this research investigates a tracking system and proposes hardware implementation of a Multiple Model estimator on several FPGA units with the ability of dynamic partial reconfiguration so that the most likely models of the estimator can be activated in blocks of the surviving FPGAs.