This text should appeal to graduate students, researchers in this field and practicing engineers. It is a thorough study of how one applies statistical theory to an important problem area. In many places, specific research problems are suggested that are suitable for thesis or industrial research. The material is in a form that is suitable for presentation in a short course or industrial course for practicing engineers.
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The respected classic, now in a handy paperback edition
Originally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part III is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago.
Part III focuses on radar-sonar signal processing and Gaussian signals in noise. The following topics are covered in detail:
* Detection of Gaussian signals in white Gaussian noise
* General binary detection: Gaussian processes
* Estimation of the parameters of a random process
* The radar-sonar problem
* Parameter estimation: slowly fluctuating point targets
* Doppler-spread targets and channels
* Range-spread targets and channels
* Doubly-spread targets and channels
The results are still largely applicable to current systems.
For students in signal processing or professionals looking for a reliable refresher course, Detection, Estimation, and Modulation Theory, Part III provides authoritative, practical coverage by one of the most renowned figures in the field. Part III also provides necessary background for Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory. --This text refers to the Paperback edition.
Originally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part III is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago.
Part III focuses on radar-sonar signal processing and Gaussian signals in noise. The following topics are covered in detail:
* Detection of Gaussian signals in white Gaussian noise
* General binary detection: Gaussian processes
* Estimation of the parameters of a random process
* The radar-sonar problem
* Parameter estimation: slowly fluctuating point targets
* Doppler-spread targets and channels
* Range-spread targets and channels
* Doubly-spread targets and channels
The results are still largely applicable to current systems.
For students in signal processing or professionals looking for a reliable refresher course, Detection, Estimation, and Modulation Theory, Part III provides authoritative, practical coverage by one of the most renowned figures in the field. Part III also provides necessary background for Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory. --This text refers to the Paperback edition.
About the Author
HARRY L. VAN TREES, ScD, was Professor of Electrical Engineering at Massachusetts Institute of Technology. He served as Chief Scientist of the U.S. Air Force, Chief Scientist of the Defense Communications Agency, and Principle Deputy Assistant Secretary of Defense for C3I. He was President of M/A-Com-Linkabit Government Systems and a cofounder of CommQuest Technologies. He is currently Distinguished Professor of Electrical Engineering and Director of the C3I Center of Excellence at George Mason University, Fairfax, Virginia.
--This text refers to the
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5 of 5 people found the following review helpful:
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Mathematical Foundation of Radar-Sonar Detection & Estimation,
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This review is from: Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part III) (Paperback)
When the reader masters the material in this book, one will have laid a thorough foundation for further work in radar & sonar problems. A prerequisite for Volume III of Van Trees is Volume I, which (also thoroughly) covers the fundamentals of Detection & Estimation Theory. A necessary prerequisite for Volume I in turn is a graduate course in Probability and Stochastic Processes. Van Trees' books are far superior to the more recent texts by Dr. Steven Kay on Detection and Estimation.
The first part of Volume III covers Detection & Estimation of Gaussian Signals in Noise. Chapters 9-13 cover the Radar-Sonar problem. The topics covered include Detection and Estimation of slowly fluctuating point targets, and then Doppler-Spread, Range-Spread, and Doubly-Spread Targets and Channels. Each chapter is mathematically rigorous, thorough and complete. If one masters Volume III, one will then understand the theoretical foundations of radar detection. A more specific follow-on, which does not require the theoretical background of Van Trees' work, but attacks the issue from a more practical level is "Fundamentals of Radar Signal Processing" by Mark Richards of Georgia Tech. If one wants to learn more about actual radars, whether at a more introductory level, or in greater practical (as opposed to theoretical) detail, one cannot beat the books by Merrill Skolnik.
0 of 1 people found the following review helpful:
5.0 out of 5 stars
Good resource for research purposes.,
By Ozonur (NY) - See all my reviews
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This review is from: Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part III) (Paperback)
I highly recommend this book to the researchers in the area. It coveres a wide range of scenarios and lays out the fundamentals in depth.
2 of 22 people found the following review helpful:
5.0 out of 5 stars
I used this book for a EE course at UMR,
By A Customer
This review is from: Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part 3) (Hardcover)
This is an excellent book for those who have excellent people to talk to about non-trivial concepts...interestingly we had a teacher who would often make improvements to Van Trees work! (dont worry...i wont name you Dr.Stuller)
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First Sentence:
In this chapter we consider the problem of detecting a sample function from a Gaussian random process in the presence of additive white Gaussian noise. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Massachusetts Institute of Technology, Lincoln Laboratory, Repeat Problem, Department of Electrical Engineering, Technical Report, Pergamon Press, Bell Syst, Englewood Cliffs, Stochastic Processes, Van Trees, Additive Normal Noise, Dispersive Channels, Group Report, Research Laboratory of Electronics, Academic Press, Aerospace Electronic Syst, Fluctuating Multipath Media, Problems Problem, Statistical Communication Theory, Communication Conv, Consider Case, Discrete Adaptive Processes, Distributed-Parameter State-Variable Techniques Applied, Fading Dispersive Communication Channels New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In this chapter we consider the problem of detecting a sample function from a Gaussian random process in the presence of additive white Gaussian noise. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Massachusetts Institute of Technology, Lincoln Laboratory, Repeat Problem, Department of Electrical Engineering, Technical Report, Pergamon Press, Bell Syst, Englewood Cliffs, Stochastic Processes, Van Trees, Additive Normal Noise, Dispersive Channels, Group Report, Research Laboratory of Electronics, Academic Press, Aerospace Electronic Syst, Fluctuating Multipath Media, Problems Problem, Statistical Communication Theory, Communication Conv, Consider Case, Discrete Adaptive Processes, Distributed-Parameter State-Variable Techniques Applied, Fading Dispersive Communication Channels 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 25
books:
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12
books
cite this book:
See all 12 books citing this book
- Modern Radar: Analysis, Evaluation, and System Design by Raymond S. Berkowitz on 4 pages
- An Introduction to Statistical Communication Theory: An IEEE Press Classic Reissue by David Middleton on 4 pages
- Principles of Communication Engineering by John M. Wozencraft on page 164, page 186, and Back Matter
- State Variables and Communication Theory by Arthur B. Baggeroer on page 273, and page 557
- Radar Detection (Paperback) by Julius V. DiFranco on page 237, and page 274
See all 25 books this book cites
- Precoding and Signal Shaping for Digital Transmission by Robert F. H. Fischer on 4 pages
- Signal Processing Noise (Electrical Engineering & Applied Signal Processing Series) by Vyacheslav Tuzlukov on page 108, page 300, and page 511
- Signal Detection Theory by Vyacheslav P. Tuzlukov on page 416, and page 696
- Signal and Image Processing in Navigational Systems (Electrical Engineering & Applied Signal Processing Series) by Vyacheslav Tuzlukov on page 85, and page 451
- Target Acquisition in Communication Electronic Warfare Systems (Artech House Information Warfare Library) by Richard A. Poisel on page 12
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