Noncooperative Identification Subsystems

Abstract

Non-cooperative combat identification employs a number of sensing technologies and signal processing techniques designed to extract discriminating features from a battlespace entity (target). Specifically-designed algorithms compare those extracted features to a tailored database to identify those targets. These technologies include: (A) Air-to-Air non-cooperative technologies, (B) Air to Ground non-cooperative technologies, and (C) Studies and Analysis, evaluating potential new technologies. Air-to-Air technologies include implementations of the Joint Multi-platform Advanced Combat identification architecture, which is a framework that allows multiple sensors to provide a robust combat identification solution; and an effort aimed at the discovery and generation of features. Air-to-Air efforts are (1) Hydravision, which is currently implementing and demonstrating the architecture in an F-16 testbed aircraft; and (2) Integrated Combat identification and Electronic warfare (ICE), which incorporates features extracted from an electronic warfare suite to enhance the F-16 solution. Air-to-Ground technologies consist of (3) Compact Aided target recognition and Sustainable Environments (CASE), an approach that focuses on tailoring algorithms to use small, efficient databases that are relatively inexpensive to generate and maintain; (4) Passive Radio frequency IDentification Environment (PRIDE), an effort to develop a capability useful in a denied access environment using passive radar and electronic warfare information; (5) Radio IDentification (RID), an effort to develop methods (including machine learning and artificial intelligence algorithms) paired with advances in software defined radios to provide enhanced solutions, improve aircrew situational awareness and assist in fratricide prevention with military and civil air platforms - potentially fusing non-cooperative and cooperative technologies; and (6) Kill-chain Weapon Integrated CID (KWIC), an effort that will use information from launched weapons through a back channel communication link to provide combat identification from within the hot battlespace. Studies and Analysis will continue to discover novel technologies that are ready to become a transitionable project, and includes (7) Enhanced Combat ID (ECID), an activity to develop a robust ability to quantitatively evaluate promising technologies using enhanced modeling and simulation capabilities. The Studies and Analysis effort will also perform early assessments of promising technologies to determine if the program should incorporate them as a formal project within the non-cooperative portfolio. In FY 2022 our non-cooperative Air to Air goals will be to follow on to the FY 2021 transition of the Joint Multi-platform Advanced Combat Identification architecture into the F-16 System Integration Laboratory and initial flight test. The follow-on activity will consist of an extensive demonstration of the capability during a flight test series, confirming the performance improvements effected by Joint Multi-platform Advanced Combat Identification. The Integrated Combat Identification and Electronic Warfare project will move into the F-16 System Integration Laboratory in FY 2022, enabling an initial flight test in FY 2023. For non-cooperative Air-to-Ground projects, Compact Aided Target Recognition and Sustainable Environments will come to a close at the end of FY 2022 after a successful demonstration and transition to the F-15E. The Passive Radio Frequency Identification Environment effort will largely complete the second of three phases in FY 2022, paving the way for the third phase which will provide a Technology Readiness Level 6 insertion into an operational platform - the third phase will be paid for by that platform. Radio Identification will also largely complete its second phase in FY 2022, enabling the System Program Office funded demonstration on a surrogate platform in FY 2023. Kill-chain Weapon Integrated Combat Identification will enter its second full year in FY 2022, the team will have had an opportunity to analyze data collected in mid-FY 2021 and craft a plan to tailor algorithms and existing synthetic databases to accommodate the unique requirements of the transition platform; FY 2022 will see the team executing that plan. Per Senior Advisory Group direction, Laser Vision activities will be put into a hibernation state starting in FY 2022; Vibrometry Advanced Mode Processor and 3-dimensional laser imaging will both be complete as scheduled and ready to transition Combat Identification capability to Litening in FY 2021, and the multi-mode ladar effort no longer has a targeted transition platform. Activities also include studies and analysis to support both current program planning and execution and future program planning. This program element may include necessary civilian pay expenses required to manage, execute, and deliver Combat Identification technologies. The use of such program funds would be in addition to the civilian pay expenses budgeted in program elements 0605826F, 0605827F, 0605828F, 0605829F, 0605830F, 0605831F, 0605832F, and 0605898F.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2022
Source ID
642597_0603742F_4_3600_PB_2022

Tags

Fields of Study

  • Engineering

Readers

  • Civilian Systems Systems Program Capability Development and Upgrade Support Activity Expense and Pay Management.
  • Military Science and Technology Research and Modernization.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Directed Energy
  • Microelectronics

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