Space-time adaptive processing for radar

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.