Modeling Attitude Variance in Small UAS's for Acoustic Signature Simplification Using Experimental Design in a Hardware-in-the-Loop Simulation

Abstract

The role and use of unmanned aerial systems (UASs) by the Department of Defense has been on the rise over the past decade. The majority of these systems are being utilized in environments where the UAS???s acoustic stealth is frequently of greater importance than radio frequency or visual stealth. Additionally, missions involving these types of systems tend to involve dynamic mission planning requirements rather than preplanned routing. Therefore, an acoustic model capable of providing real-time probability of detection information is desired. However, with present-day technology and existing acoustic models, real-time calculation of the complete acoustic signature for a small UAS (SUAS) is not feasible. This research demonstrates that the acoustic signature of the Sig Rascal 110 SUAS can be reduced by greater than 99.3% when a listener point of interest is directly below the aircraft using a methodology to model SUAS attitude variance to reduce the portion of the acoustic signature of concern. This model is developed using designed experiments in a hardware-in-the-loop simulation and uses aircraft flight parameters as factors determining attitude variance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA615251

Entities

People

  • Mitchell N. Gillespie

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Signatures
  • Acoustics
  • Air Force
  • Aircrafts
  • Airframes
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Department Of Defense
  • Detection
  • Experimental Design
  • Ground Control Stations
  • Information Science
  • Operating Systems
  • Rotary Wing Aircraft
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Acoustical Oceanography.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Systems Analysis and Design

Technology Areas

  • Autonomy