Probability-Of-Opportunity for Airborne Search Problems

Abstract

The concept of probability-of-opportunity grew out of work being done under the Air Force Research Laboratory's Next Generation Unmanned Aircraft System (AFRL/NGUAS) efforts. Specifically, AFRL was looking to better understand the relationships between sensor, sensor platform, and target characteristics in order to effectively search an area or route. Time-based simulation is quite costly and does not give immediate insight into what drives the search problem due to the lack of analytic relationships. The key to finding an efficient simulation technique was to break the search or find function of the system into two parts: 1) the probability that the sensor is looking at the right place at the right time (opportunity) and 2) given the former, the probability of the sensor in detecting the target. It was possible to develop an analytic approach to the opportunity problem using basic statistics.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2008
Accession Number
ADA491403

Entities

People

  • Jason Bowman
  • Jeff Dubois

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Detection
  • Detectors
  • Dwell Time
  • Flight
  • Government Procurement
  • Military Research
  • Platforms
  • Probability
  • Simulations
  • Synthetic Aperture Radar
  • Systems Engineering
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerospace Research.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - UAVs