Sensor placement for ballistic missile localization using evolutionary algorithms

Ramesh Rajagopalan, Ruixin Niu, Chilukuri K. Mohan, Pramod K. Varshney, Andrew L. Drozd

Research output: Chapter in Book/Entry/PoemConference contribution

1 Scopus citations

Abstract

Efficient localization of a ballistic missile is an important task in missile defense problems. This paper formulates and solves the sensor placement problem for efficient estimation of the missile location. The first part of this paper develops a mathematical framework for the localization of the missile using multiple sensors based on Cramer-Rao lower bound (CRLB) analysis. We derive the Fisher information matrix to facilitate the evaluation of estimation accuracy. The second part of the paper presents an evolutionary algorithm for obtaining the sensor placements. Simulation results show that the evolutionary algorithm outperforms a greedy sensor placement algorithm and obtains sensor placements with very low estimation error.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages284-289
Number of pages6
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: Oct 7 2007Oct 10 2007

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/TerritoryCanada
CityMontreal, QC
Period10/7/0710/10/07

ASJC Scopus subject areas

  • General Engineering

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