ability of resources like HDDTs, CCTs or Optical Disks as carrier of the raw
data. It has to build up a data structure to be interpreted within the pro-
duction base.
In the next step the Data Management Facility will sent out the elaborated
processing request over the Local Area Network (LAN) to the Preprocessor
system which puts it after acknowledge on top of its request queue. As soon
as this job can be processed all necessary actions will be initialized.
According to the requirements the Preprocessor shall be able to process
different types of sensors, platforms and orbits. So in the first step the
required parameters will be grouped into semantically meaningful sections.
The following procedures are devoted to the configuration of the product
request. As a result of these decision processes the processor modules which
are needed will be identified. Moreover the parameters and the manner how
they have to be calculated have been weighted. The semantically important
information will be structured into a set of product informations, which
represents the required data flow of this single job.
A lookup into the resource allocation table shows the possible schedule of
the job. Once the processing queue is emptied from the last finished job the
new one will be started, prior to that the 'human' operator got his request
to mount the appropriate HDDT on the input device. Then the system will
automatically preposition the tape and wait until it gets the start signal.
The following Figure 3 shows a sample data flow of the ISAR processor. The
algorithm used is described in [Bennett, 1981]. It can be seen that the
control mechanism and error recovery is implemented separate from the high-
rate data-flow. This procedure is a result of the functional subdivision of
the processor by mapping these functions onto dedicated compute devices.
Simulation
Range Compression
Doppler Estimation
Azimuth Compression
Diagnostics
Debugging
Hn
Interpolation
Image Quality
Figure 3. ISAR data flow
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