MIT Lincoln Laboratory is investigating how to use a-priori information in an adaptive MTI radar under the DARPA-funded knowledge-aided sensor signal processing and expert reasoning (KASSPER) program. Our objective is to demonstrate an embedded processor and some algorithms capable of real-time space-time adaptive processing (STAP) enhanced by a-priori knowledge of terrain types, locations of clutter discretes and road layouts. The immediate goal is to realize a baseline system, which is a conventional STAP chain making no use of a-priori information. It is designed to allow the entire KASSPER community to insert new algorithm features that exploit a-priori knowledge. The paper describes both the hardware and the algorithms that are being coded to realize the baseline system. This baseline algorithm suite is intended to provide a reasonable starting point for adding a-priori knowledge in the form of new training schemes or new STAP algorithms to improve target detectability near the mainbeam clutter ridge.
The MIT Lincoln Laboratory KASSPER algorithm testbed and baseline algorithm suite
2002
5 Seiten, 5 Quellen
Conference paper
English
British Library Conference Proceedings | 2001
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