Coordinated Optimization of Aircraft Routes and Locations of Ground Sensors

Abstract

In this report, an optimal sensor placement tool, developed for determining near-optimal configurations of stationary ground sensors, is generalized to support aircraft routing. This generalization requires characterizing candidate aircraft routes in terms of cost and coverage. Cost can reflect a variety of disincentives, not necessarily monetary for example, a probability of aircraft to be heard on the ground. Several metrics for moving sensor platforms were considered to adequately characterize cost and coverage. The generalized algorithm can be applied to such practical problems as determining the optimal combination of routes for multiple aircraft operations, optimizing routes to supplement ground-sensor coverage, optimizing ground sensors to cover blind spots of aircraft coverage, and simultaneously optimizing static and moving sensor platforms. An example problem that this report considers in detail is unmanned aircraft system (UAS) routing for verification of roadway security while minimizing UAS audibility at specified locations on the ground.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2014
Accession Number
ADA609373

Entities

People

  • Chris L. Pettit
  • D. Keith Wilson
  • Sergey N. Vecherin

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Applied Mathematics
  • Control Systems
  • Detection
  • Detectors
  • Genetic Algorithms
  • Geometry
  • Mathematics
  • Operations Research
  • Optimization
  • Probability
  • Sea Level
  • Time Intervals
  • Two Dimensional
  • Unmanned Aerial Systems
  • Vehicles

Readers

  • Aviation Safety and Air Traffic Management
  • Operations Research
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy