Abstract
We have developed an object-based, layered framework and associated library in C for real-time radar applications. Object classes allow us to reuse code modules, and a layered framework enhances the portability of applications. The framework is divided into a machine-dependent kernel layer, a mathematical library layer, and an application layer. We meet performance requirements by highly optimizing the kernel layer, and by performing allocations and preparations for data transfers during a set-up time. Our initial application employs a space-time adaptive processing (STAP) algorithm and requires throughput on the order of 20 Gflop/s (sustained), with 1 s latency. We present performance results for a key portion of the STAP algorithm and discuss future work.
This work was sponsored under Air Force Contract F19628-95-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the United States Air Force.
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© 1997 Springer-Verlag
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DeLuca, C., Heisey, C.W., Bond, R.A., Daly, J.M. (1997). A portable, object-based parallel library and layered framework for real-time radar signal processing. In: Ishikawa, Y., Oldehoeft, R.R., Reynders, J.V.W., Tholburn, M. (eds) Scientific Computing in Object-Oriented Parallel Environments. ISCOPE 1997. Lecture Notes in Computer Science, vol 1343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63827-X_67
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DOI: https://doi.org/10.1007/3-540-63827-X_67
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