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1. Receive update requests for synthetic environment data from their respective simulator client-devices.
2. Relays the update request to the CDB server complex. 3. Once the update request is acknowledged and the data retrieved by the CDB server
complex, the runtime publisher pulls data from the CDB server complex and converts and formats this data into a form directly usable by the simulator client-device. This
processing is accomplished in real-time.
4. Transfers the converted data to the simulator client-device.
6.4.6 Simulator Client-devices
The sections below provide a short description of the client-devices found on a typical simulator and the global types of information required from the CDB.
6.4.6.1 Visual Subsystems
Typical visual subsystems compute and display in real-time, 3D true perspective scenes depicting rehearsal and training environments for OTW, IR, simulated Night Vision
Goggles NVG, and 3D stealth IG viewing purposes.
6.4.6.2 Out-The-Window Image Generator OTW IG
The IG portion of the visual system provides a wide range of features designed to replicate real-world environments. High density and high complexity 3D models can be
superimposed onto high-resolution terrain altimetry and raster imagery. Scene complexity with proper object detail and occulting provide critical speed, height and
distance cueing. Special effects are implemented throughout the data store to enhance the crew’s experience and overall scene integrity. Typical IGs optimize the density,
distribution and information content of visual features in the scenes for all conditions of operations.
The visual subsystem uses time invariant information held in the CDB such as: 1. Terrain altimetry and raster imagery data
2. Cultural feature data 3. Light point data
4. Airport data 5. Material attribution data
6.4.6.3 Infrared IG
Included in the CDB Standard and associated Best Practices is the material attribution used by a typical physics-based Infrared Sensor Synthetic environment Model. This
model computes, in real-time, the amount of radiated and propagated energy within the simulated thermal bands.
A typical thermal model takes into account the following material properties: 1. Solar absorbance
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2. Surface emissivity: This coefficient reflects the degree of IR radiation emitted by the surface.
3. Thermal conductivity 4. Thermal inertia: This coefficient describes the material ability to gainlose
its heat to a still-air environment.
6.4.6.4 Night Vision Goggles Image Generation
Included in the coding is the material attribution exclusive of any properties used by NVG simulation models.
6.4.6.5 Ownship-Centric Mission Functions
