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.
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About the Author
J. R. Guerci is deputy director, special projects office for The Defense Advanced Research Projects Agency (DARPA). A Senior Member of the IEEE and a Member of the IEEE Radar Systems Panel, Dr. Guerci earned his Ph.D. in system engineering at the Polytechnic University, New York.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars
This is the place to begin your STAP training!,
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This review is from: Space-Time Adaptive Processing for Radar (Artech House Radar Library) (Hardcover)
Guerci's book begins slowly (which is a very good thing if you're a beginner to STAP) developing the simple optimal adaptive beamformer and then accelerates into space-time (Space Time Adaptive Processing-STAP) quickly dealing with clutter, jammers and system noise. He then moves into practical problems with STAP, that is, non-ideal conditions and how to cope with them in a working system. Then a quick review of most of the significant current algorithms. Easy to read and follow. There are a few typo's but that's quite normal in a technical book with hundreds of equations.
It's a good idea to have an engineering tool available as you read the book (I used Mathcad) to try out the various algorithms and duplicate the results in the book. You'll develop a deep enough understanding that the standard texts such as Klemm as well as Brennan will be easily accessible. This is where all STAP engineers should begin!
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Inside This Book
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First Sentence:
"A quick literature search on the keyword ""STAP"" will quickly serve to illustrate the ubiquitous nature of this rich topic area." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
matrix tapers, clutter rank, subspace leakage, internal clutter motion, interference covariance matrix, channel mismatch, beamformer response, clutter patch, interference rank, diagonal loading, normalized angle, steering vector, covariance inverse, optimum beamformer, clutter cancellation, rank reduction, adaptive beamformer, effective rank, adaptive processing, iceberg effect, exact covariance, adapted pattern, range bin, adaptive beamforming, eigen analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Artech House, New York, Radar Conference, Normalized Doppler Figure, Adaptive Arrays, Lincoln Laboratory, Technical Report, John Wiley, Cambridge University Press, Matrix Analysis, Subspace Leakage Problem, Modulation Theory, Van Trees, Information Systems Laboratories, Space-Time Adaptive Radar Performance, Special Section, Electronics Letters, Exponential Decay, International Conference, Optimization Theory, Optimum Array Processing, Other Important Factors Affecting, Random Variables, Special Collection of Papers, Windblown Radar Ground Clutter Doppler Spectra New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
"A quick literature search on the keyword ""STAP"" will quickly serve to illustrate the ubiquitous nature of this rich topic area." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
matrix tapers, clutter rank, subspace leakage, internal clutter motion, interference covariance matrix, channel mismatch, beamformer response, clutter patch, interference rank, diagonal loading, normalized angle, steering vector, covariance inverse, optimum beamformer, clutter cancellation, rank reduction, adaptive beamformer, effective rank, adaptive processing, iceberg effect, exact covariance, adapted pattern, range bin, adaptive beamforming, eigen analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Artech House, New York, Radar Conference, Normalized Doppler Figure, Adaptive Arrays, Lincoln Laboratory, Technical Report, John Wiley, Cambridge University Press, Matrix Analysis, Subspace Leakage Problem, Modulation Theory, Van Trees, Information Systems Laboratories, Space-Time Adaptive Radar Performance, Special Section, Electronics Letters, Exponential Decay, International Conference, Optimization Theory, Optimum Array Processing, Other Important Factors Affecting, Random Variables, Special Collection of Papers, Windblown Radar Ground Clutter Doppler Spectra New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 56
books:
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11
books
cite this book:
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- Matrix Analysis by Roger A. Horn on 6 pages
- Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) by Harry L. Van Trees on 5 pages
- Topics in Matrix Analysis by Roger A. Horn on 5 pages
- Optimization Theory with Applications (Dover Books on Mathematics) by Donald A. Pierre on page 44, page 74, and page 166
- Radar Reflectivity of Land and Sea (Artech House Radar Library) by Maurice W. Long on page 73, page 109, and Back Matter
See all 56 books this book cites
- Radar System Performance Modeling, Second Edition by G. Richard Curry on page 285, page 286, and Back Matter
- Fundamentals of Radar Signal Processing by Mark A. Richards on page 52, and Back Matter
- Advances in Direction-of-Arrival Estimation (Artech House Radar Library) by Sathish Chandran in Back Matter (1), and Back Matter (2)
- Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) by Branko Ristic in Back Matter
- Modern Antennas by S. Drabowitch on page 647
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