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In order to
compare and contrast competing system’s architectural solutions, SEA-8’s
modeling goal was to create a high-level digital battle space. In order to
quantify key performance parameters for each alternative, we used various
types and combinations of models. The
outputs of these lower level models became the inputs for our higher level
model to test overall system performance. Reliability, Logistics, C4ISR and
Sensors were four major areas of focus for our modeling efforts. Of
significant importance to the overall model was the timeline associated with
getting Blue assets to the theater. (CLICK) Deployment team used
inputs such as transit speed, distance, and payload capacity to produce
outputs such as arrival time distributions. (CLICK) For C4ISR (CLICK)
the inputs such as bandwidth available and required, processing and
transmission time, and frequency were processed, and produced outputs such as
data latency and fusion time that apply to recognized system metrics for
C4ISR and the Command Function. (CLICK) For our sensor performance
physics-based model, (CLICK) we used inputs such as time of year,
bottom type, Red force expected noise level and other inputs to generate
outputs of expected detection ranges and expected propagation loss within the
Bass Straits which was the AOR we chose for our study. An example of the
output we received from this model is shown, indicating the expected
propagation loss of one area of the Bass Straits. (CLICK) These
low-level models combined to provide inputs to the high-level entity based
model used to simulate interactions between forces. (CLICK)
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