Machine Learning Application for Mission Data Reprogramming

Abstract

Before entering a conflict or theater, USAF aircraft require updated mission data software reprogramming. Mission data controls all electronic warfare (EW) operations of the aircraft. EW operations include identifying and jamming radar operated systems, whether they are friendly or hostile. The process of reprogramming software is continuous and routinely updated for every EW system annually. On specific circumstances, the process can be expedited to months, but this puts a strain on the development team and shifts all attention to one specific mission data file. Unfortunately, a growing number of requests to upgrade mission data to a higher priority state, has created a backlog in the reprogramming process. The result is that now many requests are delayed or simply rejected. Successful reprogramming requires a mission data developer first categorize the radar emitter. This process involves matching all radar signal parameters to a known signal.

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Document Details

Document Type
Technical Report
Publication Date
Dec 26, 2021
Accession Number
AD1157188

Entities

People

  • Paolo A Bingham

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Electronic Warfare
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Countermeasures
  • Data Processing
  • Electronic Support Measures
  • Electronic Warfare
  • Engineering
  • Fire Control Radar
  • Identification
  • Learning
  • Machine Learning
  • Military Aircraft
  • Radar
  • Radar Signals
  • Situational Awareness
  • Warfare

Readers

  • Aerospace logistics and air mobility.
  • Educational Psychology
  • Naval Mine Countermeasure Systems Development.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Microelectronics