Noncooperative Identification Subsystems
Abstract
Non-cooperative combat identification (CID) 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) non-cooperative Air Target Identification (ATID) technologies, (B) non-cooperative Ground Target Identification (GTID) technologies, and (C) Studies and Analysis, evaluating potential new technologies. ATID technology development focuses on platform centric CID technologies that enhance capability to determine enemy air threats. A primary area of focus is in the development/implementation of the Joint Multi-platform Advanced Combat identification (JMAC) architecture, which is a framework that allows multiple sensors (on- board and off-board) to provide a robust combat identification solution; and efforts aimed at the discovery and generation of features from fielded sensors to supply data to JMAC. JMAC is evolving into the primary Department of Defense air target identification architecture. Other areas of focus include combat identification technologies that broaden the application of CID across air platforms utilizing larger air kill-webs planned for employment by the United Stated Air Force (USAF) and utilize assets in unmanned aerial system and space to improve and enable CID in future threat air engagements. GTID development focuses on platform centric CID technologies that enhance capability to determine enemy ground threats. Primary areas of focus include transitioning CID capability for denied access environments using passive radio frequency and electronic warfare information, integrating radio-based technologies into the cockpit to increase confidence of target identification and situational awareness as well as reduce fratricides, and to demonstrate weapon-based combat identification back to the launch platform using a communication link from that launched weapon. GTID is also focused on developing technology to address efficiency and sustainability issues associated with the development, operation and maintenance of non-cooperative monostatic and bi-static synthetic aperture radar aided target recognition algorithms and databases. Other areas of focus include combat identification technologies that broaden the application of CID across air platforms utilizing larger air kill-webs planned for employment by the United Stated Air Force and utilize assets in unmanned aerial system and space to improve and enable CID in future threat ground engagements. Studies and Analysis discovers novel technologies that are ready become transition-able projects, and includes Enhanced Combat ID (ECID), an activity to develop a robust ability to quantitatively evaluate promising combat identification technologies using enhanced modeling and simulation capabilities, database generation, database enhancement/employment (machine learning, deep learning, and artificial intelligence) to employ CID technologies in an operationally useful manner. The Studies and Analysis effort also performs early assessments of promising technologies through Concept Calls to determine if the program should incorporate them as a formal project within the CID portfolio. 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 capability. The use of such programs funds would be in addition to the civilian pay expenses budgeted in program element 0605827F, 0605828F, 0605829F, 0605831F, 0605832F, 0605833F, 0605898F, 0606398F. In FY23 0.0M was expended for civilian pay expenses in this program element and in FY24 0.0M is forecasted for civilian pay expenses in this program element.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2025
- Source ID
- 642597_0603742F_4_3600_PB_2025
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