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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. Whether you are a radar engineer looking to apply effective STAP(space-time adaptive processing) techniques to your system, or a non-radar specialist interested in important applications of multichannel adaptive filtering, this practical resource, based on a time-tested course taught in industry, government and academia, is essential reading. The book introduces you to basic STAP concepts and methods, placing emphasis on implementation in real-world systems. You find the analysis tools you need to assess the impact of STAP on a variety of important radar applications. A toolkit of STAP algorithms and implementation techniques allows you the flexibility of adapting the best methods to your application. 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 developments in STAP research, helping you keep up with important trends in the industry. Annotation "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."--BOOK JACKET. Title Summary field provided by Blackwell North America, Inc. All Rights Reserved 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.

Space-time adaptive processing (STAP) is a technology for advanced radar systems that allows for significant performance enhancements over conventional approaches. Based on a course taught in industry, government and academia, this is a practical introduction to STAP concepts and methods, placing emphasis on implementation in real-world systems. It addresses the needs of radar engineers who are seeking to apply effective STAP techniques to their systems, and can also be used as a reference by non-radar specialists with an interest in the signal processing applications of STAP. The authors aim to explain critical topics in a manner that should be understandable to anyone with a basic background in radar and signal processing. Annotation Space-time adaptive processing (STAP) is a new technology for advanced radar systems that allows for performance enhancements over conventional approaches. Based on a time-tested course, this practical resource introduces basic STAP concepts and methods, placing emphasis on implementation in real-world systems "A quick literature search on the keyword ""STAP"" will quickly serve to illustrate the ubiquitous nature of this rich topic area."