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Eugene F. Knott received his MS in Electrical Engineering from the University of Michigan in 1966. He spent 16 years at the University of Michigan Radiation Laboratory conducting RCS measurements of lab models and developing prediction models and moved on to the Georgia Institute of Technology extending similar models and conducting feasibility programs. His entire career has been spent in RCS-related programs.
John F. Schaeffer has a Ph.D. in physics and was a manager in the Low Observables Engineering Program for the Lockheed-Georgia Possum Works. He was a research scientist at the Georgia Tech Research Institute; where this book was originally developed along with the first RCS short course, and was a cofounder of Marietta Scientific, Inc. It was in this capacity where he developed Method of Moment codes for scattering, electromagnetic visualization software, and the theory for the bistatic k-space image technique.
Michael T. Tulley earned his MS in Electrical Engineering from the Georgia Institute of Technology in 1972. He spend 26 years at Georgia Tech conducting research in RCS, RCSR and radar system performance. In 1998, he joined the Institute for Defense Agencies and the Joint Commands. In 1997, he was elected a Fellow of the IEEE for his contributions to cross section technology.
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Buchbeschreibung Hardcover. Zustand: new. This item is printed on demand. Bestandsnummer des Verkäufers 9781891121258
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLING22Oct2018170236870
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers 4018069-n
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Buchbeschreibung Zustand: New. Book is in NEW condition. Bestandsnummer des Verkäufers 1891121251-2-1
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Buchbeschreibung Paperback. Zustand: new. Paperback. This is the second edition of the first and foremost book on this subject for self-study, training, and course work. Radar cross section (RCS) is a comparison of two radar signal strengths. One is the strength of the radar beam sweeping over a target, the other is the strength of the reflected echo sensed by the receiver. This book shows how the RCS "gauge" can be predicted for theoretical objects and how it can be measured for real targets. Predicting RCS is not easy, even for simple objects like spheres or cylinders, but this book explains the two "exact" forms of theory so well that even a novice will understand enough to make close predictions. Weapons systems developers are keenly interested in reducing the RCS of their platforms. The two most practical ways to reduce RCS are shaping and absorption. This book explains both in great detail, especially in the design, evaluation and selection of radar absorbers. There is also great detail on the design and employment of indoor and outdoor test ranges for scale models or for full-scale targets (such as aircraft). In essence, this book covers everything you need to know about RCS, from what it is, how to predict and measure, how to test targets (indoors and out) and how to beat it. The leading text and reference on radar cross section (RCS) theory and applications, this work presents a comparison of two radar signal strengths. One is the strength of the radar bean sweeping over a target, the other is the strength of the reflected echo senses by the receiver. This book shows how the RCS "gauge" can be predicted for theoretical objects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781891121258
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Buchbeschreibung Paperback. Zustand: New. 2nd Edition. Special order direct from the distributor. Bestandsnummer des Verkäufers ING9781891121258
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Buchbeschreibung Paperback. Zustand: Brand New. 2nd edition. 611 pages. 9.00x6.25x1.50 inches. In Stock. Bestandsnummer des Verkäufers x-1891121251
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Buchbeschreibung Zustand: New. New. In shrink wrap. Looks like an interesting title! 1.87. Bestandsnummer des Verkäufers Q-1891121251
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Buchbeschreibung Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Bestandsnummer des Verkäufers C9781891121258
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