Relational Database Design and Multi Objective Database Queries for Position Navigation and Timing Data

Abstract

The ANT center has access to over 100 position, navigation and timing data sets, which are stored in different formats and locations. These data sets would be valuable to students designing filters as part of their research and could be used to supplement physical testing, but are mostly unavailable. This thesis presents the design and testing of three possible database approaches to store this PNT data in the Scorpion Data Model format. The best performing solution is then used to test two stochastic algorithms for multi-objective database queries in the Knapsack and Set Covering problem domains. This thesis provides valuable tools to enable future navigation research.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1103020

Entities

People

  • Sean A Mochocki

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Big Data
  • Computer Programming
  • Computer Science
  • Computers
  • Data Analysis
  • Data Modeling
  • Data Set
  • Data Sets
  • Database Management Systems
  • Databases
  • Digital Data
  • Domain Specific Programming Languages
  • Engineering
  • Global Navigation Satellite Systems
  • Information Systems
  • Measurement
  • Navigation
  • Operations Research
  • Programming Languages
  • Relational Database Management Systems
  • Relational Databases
  • United States

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Operations Research
  • Positioning, Navigation, and Timing (PNT) Technology.