Guerci J.R. Space-Time Adaptive Processing for Radar

Artech House, 2003 — 203p.Written for engineers familiar with radar, electromagnetics and signal processing, this book establishes basic first order space-time models for clutter and jamming, details important second order and higher effects, and introduces modern space-time adaptive processing (STAP) algorithms. Guerci (Defense Advanced Research Projects Agency) presents design examples that illustrate ways in which various reduced rank STAP methods can be combined to yield good signal-to- interference plus noise ratio (SINR) performance, but with reduced sample support and computational requirements, and extends QR factorization computing architectures to a covariance matrix taper.The Need for STAP in MTI Radar.
STAP for MTI Radar.
Book OrganizationAdaptive Array ProcessingOptimum Spatial (Angle) Beamforming.
Optimum Temporal (Doppler/Pulse) Processing.
Adaptive 1-D Processing.
Adaptivity in Nonstationary Environments.ULA Antenna Pattern Response.
Derivation of the Maximum Likelihood Sample Covariance Matrix.
Space-Time Adaptive ProcessingNeed for Joint Space and Time Processing.
Optimum Space-Time Processing for MTI Radar.
STAP.Other Important Factors Affecting STAP PerformanceChannel Mismatch.
Other Interference Subspace Leakage Effects.
Antenna Array Misalignment.
Nonlinear Arravs.
Interference Nonstationarity and the Iceberg EffectSTAP for Radar: Methods, Algorithms, and PerformanceData-Independent Reduced-Rank STAP.
Data-Dependent Reduced-Rank STAP.
Structured-Covariance and Model-Based Methods.
Illustrative Design Examples.Other TopicsStatistical Basis for STAP.
STAP Implementation.
Knowledge-Aided STAPAbout the Author
IndexAbout the Author
J. R. Guerci is the deputy director of the Special Projects Office for the Defense Advanced Research Projects Agency (DARPA), where he is responsible for the development of next generation radar and sensor systems, including space-based radar. He has more than 15 years of industrial and academic experience, and has published numerous technical papers including a book chapter he coauthored in Intelligent Signal Processing (IEEE Press, 2001). A member of the IEEE Radar Systems Panel, he received his Ph.D. in system engineering from Polytechnic University in New York.