Noncooperative Identification Subsystems

Abstract

Non-cooperative CID employs a number of sensing technologies and signal processing techniques. The observations may be compared to a database of known objects to identify surface or air threats from air platforms. These technologies include: (1) Laser Vision, an Electro-Optical/Infrared (EO/IR) imaging system that significantly increases ID ranges; (2) Hydra Vision, a balanced (robust) amalgamation of sensor data from multiple sources to provide warfighters with higher confidence CID results on surface or air targets potentially including fusion with intelligence sources, identification of non-traditional targets, fusion to counter camouflage, concealment and deception (CCD), and multi-phenomenology features for sustainable databases; (3) Compact AiTR (Aided Target Recognition) and Sustainable Environments (CASE), a CID approach that focuses on tailoring algorithms to utilize smaller, more efficient databases that are faster and less expensive to generate and maintain; (4) Passive RF ID Environment (PRIDE), a program to develop passive RF target ID capability for denied access environment utilizing passive RF and EW information with potential non-traditional ISR capabilities; (5) Radio ID (RID) will develop methods for utilizing advances in digital radio technologies such as software defined radios, to provide low cost ID solutions to enhance Combat ID, improve aircrew situational awareness and assist in fratricide prevention with military and civil air platforms, potentially fusing non-cooperative techniques and cooperative technologies; and (6) Enhanced Combat ID (ECID), a program under Studies to develop a robust ability to quantitatively evaluate promising CID technologies using enhanced modeling and simulation (M&S) capabilities. In FY20 our goal is to complete the first transition of a feature-level fusion ATR capability for air targets onto F-16 AESA aircraft under Air to Air Hydra vision, providing a substantial improvement in CID performance at long range. This effort will lead the way for other platforms to integrate this capability. AAHV will also transition a major improvement in air target CID to the F-15E AESA aircraft. CASE will be in the final demonstration phase of a significant ground target CID capability that will transition to F-15E AESA and F/A-18 AESA the following year. VAMP and 3DTO will both be preparing to transition CID capability to Litening in FY21. FY20 will see the initiation of three major programs, to include Integrated Determination of ID (ID2) - using advances associated with JMAC to provide feature-level fusion to ground target ID; Integrated Combat ID with EW (ICE), pulling EW-specific features into feature-level fusion; and Kill Chain Weapons Integrated CID (KWIC), using information from launched weapons through a back link to provide CID from within the hot battlespace. 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.

Document Details

• Document Type: Project
• Publication Date: Oct 01, 2020
• Source ID: 642597_0603742F_4_3600_PB_2020

Tags

Readers

• Military Science and Technology Research and Modernization.
• Sensor Fusion and Tracking Systems.

Technology Areas

• Directed Energy