Navigation Constellation Design Using a Multi-Objective Genetic Algorithm

Air Force Institute of Technology

ISBN 10: 1523327340 / ISBN 13: 9781523327348

Published by CreateSpace Independent Publishing Platform, 2016

About this Item

Zustand: Sehr gut | Seiten: 122 | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 29067044/2

Bibliographic Details

• Title: Navigation Constellation Design Using a Multi-Objective Genetic Algorithm
• Publisher: CreateSpace Independent Publishing Platform
• Publication Date: 2016
• Language: English
• ISBN 10: 1523327340
• ISBN 13: 9781523327348
• Binding: Soft cover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

The Global Positioning System (GPS) has become an important asset in the lives of civilians and defense organizations. GPS uses include positioning, navigation, timing, as well as many other daily applications. With such dependence, protection against attacks on the system is paramount to continue its effectiveness. Attacks on its signal is the easiest way for enemies to degrade and harm not only everyday functioning for civilians, but a nations defense as well. Jamming interference and spoofing are the two most frequent attacks on GPS signals. Could these two attacks cause significant effect on military operations? We use a System Effectiveness Analysis Simulation (SEAS) model to emulate a special operation force (SOF) using GPS recovering a weapon of mass destruction (WMD) against an opposing military in an urban canyon environment. Simulating jamming (modeled as availability and accuracy) and spoofing (modeled as timeliness) of the GPS satellites signal produces a greater understanding of its impact on this type of operation. Statistical analysis determined the significance of these types of attacks on several responses for this simulation. Our results include a designed experiment capturing how individual model factors representing spoofing and jamming can degrade GPS performance, and the subsequent impact on mission operations through selected MOEs for the scenario modeled.