C4I and Software Intensive Systems Test

Abstract

The C4T project completed development of technologies to enable the Test and Training Enabling Architecture (TENA) to utilize remote methods of authentication and privilege management to distributed users. Moreover, these technologies will support the use of TENA over a broad range of networks and provide a common interoperability test architecture. C4T continued development of technologies in multiple areas of “Big Data” rapid analytics by focusing on facilitating Data-to-Decisions (D2D). These technologies contribute to knowledge management and analytics in support of near-real time semantic analysis of large structured and unstructured datasets and assist the analyst in making decisions during test events. These technologies are targeted for support of F-35 testing. C4T continued to develop real-time automated multi-band infrared target segmentation technology using state-of-the-art neural network and deep learning based algorithms. Development continued on technologies to test MK-48 and MK-54 torpedoes. These technologies will provide an acoustic propagation model, both narrow and broad band, of sufficient fidelity to test torpedo performance in various maritime tactical environments. The model includes a real-time simulation/emulation system for testing torpedo sonar systems in multiple bathometry, biological and threat environments. The model will incorporate autonomous evasion maneuvers of targeted submarines or surface ships. The C4T project continued the development of technologies to provide a reliable, fast, and cost-effective approach that enables Live Virtual Constructive (LVC) testing of next generation weapon systems. These technologies will enable live assets to sense and respond to stimulus without regard to whether the stimulus is real or synthetic. The C4T project initiated the development of technologies to optimize the deployment of test support networks, plan expeditionary tests, manage bandwidth and spectrum contention with a networked system under test, and provide Real-Time Casualty Assessment (RTCA) data during live tests. These technologies will address deficiencies in Operational Test (OT) for network-enabled technology.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2019
Source ID
1962f82c232ac8bc0cebc0c8fdd55863

Tags

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Naval Mine Countermeasure Systems Development.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

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