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4.1 STAP II: Advanced TechniquesInstructors: Dr. J. Scott Goldstein - SAIC and Dr. Irving S. Reed - USCThursday April 25, 1:30 p.m. to 5:30 p.m.AbstractThis tutorial is tailored to those individuals who have a basic familiarity with STAP and who are interested in learning about current trends and challenges in up to the minute STAP research. Particular emphasis is placed on recent advances in the theory of optimal and adaptive rank-reduction methods aimed at combating many real-world deleterious effects such as interference heterogeneity/nonstationarity, and subspace leakage (i.e., internal clutter motion, nonlinear array geometries, transmitter/receiver instabilities, etc.). Topics covered include a brief summary of basic STAP fundamentals, a detailed description of the requirements that drive modern STAP implementations, data adaptive rank reduction methods such as principal components, cross-spectral, and the recently developed multistage Weiner filter, and strategies for adaptation in the real world. Finally, a multidisciplinary perspective of STAP is presented which unifies seemingly disparate applications in radar, multispectral imaging, passive infrared and synthetic aperture radar. Bios
Dr. J. Scott Goldstein is an Assistant Vice-President at SAIC, where he is a Senior Scientist and Manager, Adaptive Signal Exploitation. He is active in the research and development of next generation radar systems and is a major contributor to the field of optimal and adaptive reduced-rank signal processing and STAP. He is a Fellow of the IEEE, a member of the IEEE Radar Systems Panel, author of over 100 technical publications, and a member of Sigma Xi, Tau Beta Pi and Eta Kappa Nu.
Dr. Irving S. Reed is the Charles Lee Power Professor of Electrical Engineering at the University of Southern California in Los Angeles. He has authored or co-authored over 300 publications, primarily in the fields of radar detection and coding theory. An original pioneer of STAP, Dr. Reed is also a member of the National Academy of Engineering and a Fellow of the IEEE. Most recently, Dr. Reed was the recipient of the 2001 Warren D. White Award for Excellence in Radar Engineering. © Copyright 2001, 2002, IEEE. Terms & Conditions. Privacy & Security. |