Airborne Reconnaissance Systems

Abstract

This program funds multi-domain, multi-Intelligence (multi-INT) research, development, test and evaluation (RDT&E) efforts in support of the National Defense Strategy (NDS) and 2018 DoD Artificial Intelligence Strategy, as applied by the Air Force in the Next Generation ISR Dominance Flight Plan. Specifically, Program 0305206F provides authorized and appropriated funding to multi-INT RDT&E efforts for utilization on airborne platforms. This program traditionally provides a venue for integration of technologies matured in both the Advanced Technology and Sensors(0604257F) and Airborne SIGINT Enterprise (0304260F) program elements. According to the 2018 NDS, "we are facing an increasingly complex security environment as defined by ... adversaries in every operating domain.” Additionally, to ensure (operations) sustainment while under persistent multi-domain attack, the Air Force has applied the NDS in the Next Generation ISR Dominance Flight Plan. The future ISR portfolio will "consist of a multi-domain, multi-intelligence,” systems to "remain confident across the entire conflict spectrum.” The Airborne Reconnaissance PE is integral to developing multi-domain, multi-INT systems capable of sustaining warfighter decisive advantage through all ranges of military operations, up to highly contested environments (HCE). The Airborne Reconnaissance System (ARS) Program matures, develops, demonstrates, and rapidly transitions: next-generation, persistent, wide area surveillance and common imagery reconnaissance sensors, and both active and passive capabilities. ARS includes sensor data processing for multiple airborne platforms, in addition to sensor products aiding assisted target recognition algorithms and other artificial intelligence activities (e.g., geolocation models, sensor based exploitation tools, sensor networking capabilities). ARS provides for modeling & simulation, training and multi-INT systems engineering. This program also coordinates common collection, processing, and dissemination solutions for near-real-time multi-domain ISR development. The ARS Program includes the following efforts: Next Generation Sensors efforts lead advancements in multi-INT, platform agnostic capability. The Next Generation Sensors (NGS) project is developing, demonstrating, and maturing Intelligence, Surveillance, and Reconnaissance (ISR) sensor suites in a platform agnostic environment. Sensor suites will include open architectures to further enable platform mobility and tech refresh as well as Artificial Intelligence (AI) algorithms to enable assisted target detection and identification. Efforts include but are not limited to, Triple Raven multi-GEOINT High Altitude Advanced Technology Demonstration, multi-INT Common Open Architecture Reconnaissance Programs Standard (MI-COARPS), and Assisted Target Recognition for ISR (ATRI). Agile ISR includes Detection Removal and Characterization Operations developing a robust image quality improvement capability for airborne synthetic aperture radar (SAR) products. Sensors Open Systems Architecture (SOSA) coordinates advanced technologies, and open architecture development for multi-INT sensor modalities. The program includes development of a family of government owned, open, platform agnostic pods - the AgilePod Family. Sensor Development includes Advanced Synthetic Aperture Radar System (ASARS) front end antenna array and receiver exciter advancements (ASARS-2B) and back end processor advancements (ASARS-2C). ASARS-2B follow on RDT&E extends range, enhances Ground Moving Target Indicator (GMTI) and Synthetic Aperture Radar (SAR) performance and introduces maritime capability while laying in the framework for future use of open architectures. ASARS-2C effort extends the functionality and performance of ASARS-2B through the addition of advanced radar capabilities by enabling use of third party vendor solutions and multi-platform integration. ASARS is the radar solution for Next Generation Sensors efforts. JTC supports ISR Training Systems Integration Laboratories. Gorgon Stare Wide Area Motion Imagery research, development, test and evaluation. Data Compression efforts are led by Reduction of Data Using Compression Enhancement (RDUCE). RDUCE develops data compression algorithms, addressing current and future date dissemination systems' bandwidth limitations. Consistent with NDS, algorithms are multi-INT sensor agnostic that are submitted for formal adoption by the DoD-Intelligence Community (IC) Joint Enterprise Standards Committee (JESC) GEOINT standards groups. This program element may include necessary civilian pay expenses required to manage, execute, and deliver technology and sensor capabilities. The use of such program funds would be in addition to the civilian pay expenses budgeted in program element 0605831F. This program is in Budget Activity 7, Operational System Development because this budget activity includes development efforts to upgrade systems that have been fielded or have received approval for full rate production and anticipate production funding in the current or subsequent fiscal year.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2021
Source ID
0305206F_7_3600_PB_2021
Change Summary Explanation
Service Agency Name
Air Force

Entities

Organizations

  • United States Air Force

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Data Compression
  • Data Processing
  • Detection
  • Full Motion Video
  • Geospatial Intelligence
  • Ground Control Stations
  • Intelligence Surveillance And Reconnaissance
  • National Security
  • Radar
  • Surveillance
  • Synthetic Aperture Radar
  • Target Recognition
  • Test And Evaluation
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Civilian Systems Systems Program Capability Development and Upgrade Support Activity Expense and Pay Management.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy

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