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Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV)
 
 
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Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) [Hardcover]

Harry L. Van Trees (Author)
2.8 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

0471093904 978-0471093909 March 22, 2002 Part IV
  • Well-known authority, Dr. Van Trees updates array signal processing for today's technology
  • This is the most up-to-date and thorough treatment of the subject available
  • Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications

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Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) + Detection, Estimation, and Modulation Theory, Part I + Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part III)
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Editorial Reviews

Review

"...an integrated presentation of classical and statistical array processing...develops synthesis techniques..." (SciTech Book News, Vol. 26, No. 2, June 2002)

From the Back Cover

"Once again, Harry Van Trees has written the definitive textbook and research reference."
-Norman L. Owsley
Office of Naval Research, IPA University of Rhode Island

A comprehensive treatment of optimum array processing

Array processing plays an important role in many diverse application areas, including radar, sonar, communications, seismology, radio astronomy, tomography, and cellular communications.

Optimum Array Processing gives an integrated presentation of classical and statistical array processing. Classical analysis and synthesis techniques for linear and planar arrays are developed. A statistical characterization of space-time random processes is provided. Many different aspects of optimum array processing are covered, including waveform estimation, adaptive beamforming, parameter estimation, and signal detection. Both plane-wave signals and spatially spread signals are studied, and all results are developed in a pedagogically sound manner.

This book provides a fundamental understanding of array processing that is ample preparation for research or implementation of actual array processing systems. It provides a comprehensive synthesis of the array processing literature and includes more than 2,000 references. Readers will find an extensive variety of models and criteria for study and comparison, realistic examples and practical applications of optimum algorithms, challenging problems that expand the book's material, and detailed derivations of important results. A supplemental Web site is available that contains MATLAB(r) scripts for most of the figures used in the book so readers can explore diverse scenarios.

The book uses results from Parts I and III of Detection, Estimation, and Modulation Theory. These two books have been reprinted in paperback for availability.

For students in signal processing or professionals looking for thorough understanding of array processing theory, Optimum Array Processing provides authoritative, comprehensive coverage in the same clear manner as the earlier parts of Detection, Estimation, and Modulation Theory.

Product Details

  • Hardcover: 1456 pages
  • Publisher: Wiley-Interscience; Part IV edition (March 22, 2002)
  • Language: English
  • ISBN-10: 0471093904
  • ISBN-13: 978-0471093909
  • Product Dimensions: 10.2 x 7.2 x 2.3 inches
  • Shipping Weight: 5.3 pounds (View shipping rates and policies)
  • Average Customer Review: 2.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #838,666 in Books (See Top 100 in Books)

 

Customer Reviews

4 Reviews
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Average Customer Review
2.8 out of 5 stars (4 customer reviews)
 
 
 
 
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33 of 34 people found the following review helpful:
4.0 out of 5 stars Great academic reference - Practitioners: Use with caution!, April 5, 2003
By A Customer
This review is from: Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) (Hardcover)
This book is the fourth book in Dr van Trees' series "Detection, Estimation, and Modulation Theory". It relies extensively on volumes I and III (but not volume II), and the reader of volume IV will want to have volumes I and III available.

As for the book itself, it is BIG. For some reason, it gives the impression of being somewhat inflated. I can't pinpoint the exact reason for this, but I suspect it must have something to do with the relation between font size and paper size. The publishers claim there are 2000 references in the book. This may very well be true, as the bibliographies after each chapter generally are 10 to 15 pages long. Unfortunately, there is no overall bibliography in the book. While such a bibliography would inflate the book by somewhere between 100 and 150 pages (it is ~1500 pages in the current version), I think it would be worth adding it.

What the contents is concerned, it is a definite academic angle on the material and the presentation. The practitioner may want to pay attention to the fact that the book title is "_Optimum_ Array processing", not "_Practical_ Array Processing". The "Multiple Signal Classification" (MUSIC) method and "Estimation of Signal Parameters via Rotational Invariant Techniques" (ESPRIT) algorithm are discussed extensively in the later chapters, but some details that turn out to be cruical when putting these methods to practical use appear to be missing in this book. The very motivation for developing the ESPRIT algorithm is that the MUSIC algorithm is extremely sensitive to array calibration data, i.e. that the array calibration matrix must be known with very high presicion. The inventors of ESPRIT, Roy and Kailath, pay meticulous attention to this problem in their journal articles (which are cited by van Trees). The problem of lacking array calibration data has indeed spawned an entire research field known as "blind source estimation". This is not mentioned at all in this book.

The second issue I would like to point out is that alternative, SUBoptimum array processing techniques are very breafly commented in section 9.4 (which all in all is half a page long). I find one sentence in that section somewhat annoying:

"We found that, for estimating the [Direction of Arrivals] of plane-wave signals the [suboptimum] algorithms did not perform as well as MUSIC and ESPRIT"

and then the author defer from discussing these algorithms further. I am sure this decision can be defended from the point of view that the scope of the book is optimum array processing. However, I would like to see how the author tests the suboptimum methods, how they perform, and what he bases his conclusions on. There is a vast difference between tests with synthetic data, generated by the computer, and working with data measured in the real world. My experience from working with real-world data from short arrays at low signal-to-noise ratios, is the exact opposite: The optimum algorithms work bad, if at all, while suboptimum algorithms do the job.

All in all, this book gives an as complete overview of the state-of-the-art in array processing as practically possible by one man to give in one volume. There are a couple of shortcommings, though. If this book was written by any other author and was published in any other series, it would be a clear five-star. However, Dr van Trees has, with his "Detection, Estimation, and Modulation Theory" series, established himself as perhaps _the_ authority in the field, and therefore I believe this book should be measured by somewhat stricter standards. Thus the four stars.

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3 of 3 people found the following review helpful:
5.0 out of 5 stars For the serious reader look no further, February 21, 2007
This review is from: Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) (Hardcover)
It was a great pleasure for me to discover this book after having tried to read several other books on the subject. The explanations and mathematics are crystal clear and anyone but the most indolent should have a great pleasure in the detail and effort put behind this book. As one example, I have looked for an explanation of the theory behind Dolph-Chebychev windows. This was clearly and simple described, so the reader has a chance to understand (and remember!) the material, instead of just jotting down many equations of various unknown origin. A great many array geometries, methods and techniques are considered and explained in detail. All in all, a lot of information I only wish, I had available several years ago.

For the serious reader I have found no comparable book on the subject.
For the beginnner, "adaptive signal processing" by Widrow may be more appropriate.
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5 of 7 people found the following review helpful:
1.0 out of 5 stars Book Review-Van Trees, September 5, 2008
This review is from: Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV) (Hardcover)
Van Trees previously published book on detection and estimation was a sort of bible for graduate level textbook in the 70s and 80s. This book is a lengthy re-statement of known results published widely in many text books. I did not find a single chapter or section with any new insight. I also contacted the author to get a copy of his Matlab simulations (not available on the web site noted in the book) and after repeated e-mails, I never received a response. The partial Matlab code downloaded from the site is incomplete and poorly organized.
Overall, I do not recommend this book to anyone interested in this topic.
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Inside This Book (learn more)
First Sentence:
In this case, we were concerned with detecting signals in the presence of Gaussian noise. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
standard linear array, array manifold vector, conventional beam pattern, beamspace processing, eigenspace beamformer, spatially spread signals, standard rectangular array, separable weightings, uncorrelated plane waves, main response axis, signal spectral matrix, symmetric indexing, array perturbations, matrix tapers, optimum distortionless, quiescent weight vector, smi beamformer, unknown correlated noise, desired beam pattern, normalized snapshots, adapted beam pattern, augmentable arrays, low sample support, optimum beam pattern, process with additive white noise
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, New Jersey, Antennas Propag, Englewood Cliffs, Problem Note, Van Trees, Lincoln Laboratory, San Diego, Asilomar Conf, Pacific Grove, Van Veen, Antenna Handbook, Wiley Interscience, Bell Syst, Aerospace Electron, Academic Press, Artech House, Beamformers Problem, Adaptive Filter Theory, Least Squares Error Pattern Synthesis, Stanford University, Van Loan, Digital Spectral Analysis, Upper Saddle River, Boca Raton
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