3.1 STAP I: Introduction to Theory and Applications

Instructor: Dr. Joseph R. Guerci - DARPA

Thursday April 25, 8:00 a.m. to 12:00 a.m.

Abstract

This tutorial is designed to provide a firm grounding in the theory and application of optimum and adaptive space-time processing for radar and an understanding of the key practical challenges facing real-world implementations. Assuming only a basic background in radar, electromagnetics and signal processing, the course begins with a thorough derivation and explanation of space-time adaptive processing (STAP) beginning with its origins in adaptive array and Doppler processing. Next, a survey and taxonomy is presented of popular conventional STAP algorithms and real-time processing architectures. Consideration is given to real-world factors that can have a significantly deleterious effect on performance, such as interference heterogeneity/nonstationarity, subspace leakage (i.e., internal clutter motion, nonlinear array geometries, transmitter/receiver instabilities, etc.), and channel match errors. Finally, a brief survey of current research trends to address these issues is provided.

Bio

Dr. Joseph R. Guerci is the Deputy Director of the DARPA Special Projects Office which is engaged with next generation radar and STAP development. He has over 17 years of advanced sensor and radar R&D in both industrial and academic settings. He is a member of the IEEE Radar Systems panel, has over 40 peer-reviewed technical papers, holds eight U.S. patents, is the author of the forthcoming book Space-Time Adaptive Processing for Radar (Artech House) and, in 1996, he won the DARPA/AFRL "CREST Challenge" STAP radar design contest.

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