Abstract
Military aircraft are increasingly dependent on the use of installed RF and Electro-optical sensor systems and their data correlation/fusion to contend with the increasing demands and complexities of multi-mission air warfare. Therefore, simultaneous, and correlated, ground-based T&E of multiple installed RF and Electro-optical (EO) sensors and avionics systems/subsystems is used to optimize the use of scarce flight testing resources while also satisfying increasingly sophisticated test requirements. Accordingly, it is now an accepted, and highly cost-effective practice, to first conduct rigorous ground testing and evaluation (T&E) of the installed/integrated sensors’ performance and their interaction using high fidelity modeling and simulation with real time scene rendering. Accordingly, valid groundbased T&E of installed multi-spectral (RF, IR, Visible) sensors requires that the simulations’ spatial, spectral and temporal components be of sufficient fidelity and correlation to produce sensor responses that are indistinguishable from responses to “real-world” conditions. This paper discusses accomplishment of the foregoing goals, and fidelity challenges through innovative utilization of High Performance Computing (HPC) parallelization, visualization, shared memory optimization and scalability for multi-spectral modeling, simulation and real time rendering.
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Keywords
- High Performance Computing
- System Under Test
- Military Aircraft
- High Fidelity Modeling
- Functional Block Diagram
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References
T. Joyner, K. Thiem, R. Robinson, R. Makar, and R. Kinzly, “Joint Navy and Air Force Infrared Sensor Stimulator (IRSS) Program Installed Systems Test Facilities (ISTF)”, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing IV, Robert Lee Murrer, Editor, Proceedings of SPIE Vol. 3697, pp. 11–22, 1999.
DoD HPC Modernization Program FY96 Implementation Plan for the Common High Performance Computing (HPC) Software Support Initiative (CHSSI), dated October 1995
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© 2001 Springer-Verlag Berlin Heidelberg
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Kriz, J., Joyner, T., Wilson, T., McGraner, G. (2001). Correlated, Real Time Multi-spectral Sensor Test and Evaluation (T&E) in an Installed Systems Test Facility (ISTF) Using High Performance Computing. In: Alexandrov, V.N., Dongarra, J.J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds) Computational Science - ICCS 2001. ICCS 2001. Lecture Notes in Computer Science, vol 2074. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45718-6_57
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DOI: https://doi.org/10.1007/3-540-45718-6_57
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