Paper
25 November 1992 Time-domain analysis simulation for advanced tracking
Author Affiliations +
Abstract
TASAT is a complete end-to-end system simulation of tracking and pointing systems. It can currently model ground-based (GB), space-based (SB), and kinetic energy weapon (KEW) systems at a very high level of fidelity to assess system performance and design tradeoffs. It is primarily a time-domain analysis tool, but it can also perform frequency-domain analysis for performance and stability analysis. TASAT was built as a modular set of interacting routines that permit much more than end-to-end analysis. Specifically, subsystem and even component level analyses are available. The code treats all aspects of tracking and pointing systems using realistic, anchored imagery in a multiwavelength simulation. Some of the functions modeled include orbit propagation or launch trajectories, image rendering with high fidelity scattering calculations, atmospheric or optical blur point-spread functions (PSFs), image formation via convolution, realistic focal plane sensors including dead bands, sensor noise, and analog-to- digital conversion, and control system response. For GB applications, the atmospheric model is a novel treatment of the time average PSF after application of an adaptive optics system. Also, atmospheric tilt is modeled exactly. The code has applications beyond GB, SB, and KEW systems. It will treat imaging systems, tactical and strategic surveillance systems, and radar range gating. The paper provides an overview of the simulation architecture and presents results from analyses of each of the principal systems modeled in TASAT.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James F. Riker, Gregg A. Crockett, and Richard L. Brunson "Time-domain analysis simulation for advanced tracking", Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); https://doi.org/10.1117/12.138181
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Cited by 5 scholarly publications.
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KEYWORDS
Systems modeling

Atmospheric optics

Sensors

Atmospheric modeling

Data modeling

Imaging systems

Image sensors

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