Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Based on a time-tested course taught in industry, government, and academia, Space-Time Adaptive Processing for Radar introduces basic STAP concepts and methods, placing emphasis on implementation in real-world systems. This practice resource provides the analysis tools needed to assess the impact of STAP on a variety of important radar applications. The toolkit of STAP algorithms and implemention techniques included in the book allows practitioners the flexibility of adapting the best methods to their applications.From important factors affecting STAP performance to reduced-rank and minimized sample support STAP, the book clearly explains critical topics in a manner that is easily understandable to anyone with a basic background in radar and signal processing. Moreover, this unique reference includes detailed descriptions of the latest developements in STAP research, helping professionals keep up with important trends in the industry.
Synopsis
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. Annotation ©2003 Book News, Inc., Portland, OR