C4I and Software Intensive Systems Test
Abstract
The C4T project continued development of AI technologies in multiple areas of “Big Data” rapid analytics of large structured and unstructured datasets in support of F-35 Test and Evaluation (T&E). This includes the development of an analyst assisting multi-variant time series Sensor Data Anomaly Detection (SDAD) tool. The SDAD tool is based on a learning system that combines the analysts’ knowledge with the classification knowledge obtained from big data techniques to achieve an automated post mission processing tool enabling identification of unknown anomalies within the terabytes of sensor data collected for a given flight test. The C4T project continues development of M&S technologies to support real-time assessments of torpedo performance in complex undersea environments, specifically for shallow water (<50 meters). These technologies provide an acoustic propagation model for both narrow and broad band, of sufficient fidelity to be used for the next generation of torpedo development as well as testing torpedo performance in various maritime tactical environments that cannot be assessed with live in-water testing. The model includes a real-time simulation/emulation system for design and testing the next generation of torpedo sonar systems in multiple bathometry, biological and threat environments. The C4T project completed development of technologies to provide a reliable, fast, and cost-effective approach that enables direct injection Live Virtual Constructive (LVC) testing of C4I and software intensive systems for joint mission effectiveness. The C4T project continued development of a network M&S to achieve configuration optimization of test support networks. Technologies included planning expeditionary tests, managing bandwidth and spectrum contention with a networked system under test, managing power consumption providing a continuous re-planning capability. These technologies will address deficiencies in Army Operational Test (OT) for network-enabled technologies. The C4T project initiated the development of big data analytics (BDA) projects implementing artificial intelligence/ machine learning (AI/ML) techniques for multi-variant time series sensor datasets, unstructured dataset analytics (audio, video, and imagery), and advanced visualization of large T&E datasets. These technologies are being developed to support test and evaluation of future warfighter C4I and Software Intensive Systems (4th and 5th generation military platforms).
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2022
- Source ID
- adc17e34460d8679c29159e2d78467c2