An FPGA Testbed for Characterizing and Mapping DOD Applications

Abstract

The widespread use of unmanned autonomous surveillance systems in military operations offers significant advanced new capability while simultaneously introducing complex challenges in the rapid development/deployment and testing of these systems. Current payloads for these systems have stringent constraints with respect to their maximum weight, power consumption, processing speed, sensor types, interface requirements, and overall cost. The traditional approach to the design of these payloads involves repeated system level engineering design steps identifying onboard computers and application specific boards, each supplied by a specific manufacturer. This approach results in systems with closed or highly proprietary architectures that have a very limited potential for reuse. While each board typically enables a particular function for the payload, the problem of meeting payload design specifications is exacerbated by the need to identify manufacturers with interfaces that match the sensors. Hence, for each new system, there is typically at least one complete redesign to meet the dynamic nature of advances in sensor technology.

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Document Details

Document Type
Technical Report
Publication Date
Dec 27, 2017
Accession Number
AD1051530

Entities

People

  • Christopher Doss
  • Clay Jr Gloster

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Central Processing Units
  • Computational Science
  • Computer Network Security
  • Computer Program Documentation
  • Computer Programming
  • Computer Programs
  • Computers
  • Field Programmable Gate Arrays
  • Graphics Processing Unit
  • High Performance Computing
  • Image Processing
  • Neural Networks
  • Operating Systems
  • Robotics
  • Software Development
  • Web Service

Readers

  • Electrical Engineering
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy