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RLSTAP Algorithm
Development Tool for
STAP Analysis in the
Mountaintop Environment

Mark L. Pugh
USAF Rome Laboratory
26 Electronic Parkway
Griffiss Air Force Base, NY 13441-4514

Abstract Space Time Adaptive Processing (STAP) has been proposed as an enabling technology for the detection of low radar cross-section targets from an airborne platform in the presence of severe clutter and jamming. Under the ARPA Mountaintop Program, Rome Laboratory and MIT Lincoln Laboratory are conducting emulated-motion radar measurements from elevated ground-based locations to provide a database for the study of advanced airborne surveillance and tracking issues. In support of this program, Rome Laboratory is developing a Space Time Adaptive Processing Algorithm Development Tool (RLSTAP/ADT) to enable the evaluation of evolving systems technologies needed to address future operational requirements. The RLSTAP/ADT provides the ability to develop and evaluate adaptive signal processing algorithms using a combination of measured airborne radar data and simulated airborne radar data generated from USGS/DMA terrain elevation/cover data to produce indicative clutter return estimates. This presentation discusses the utilization of the RLSTAP/ADT and extrapolated Mountaintop data to assess the utility of Space Time Adaptive Processing for advanced airborne surveillance systems.



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