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Radar Cross Section (Radar, Sonar and Navigation)

By: Eugene F. Knott (Author) , John F. Schaeffer (Author) , Michael T. Tulley (Author)

2 in stock

Ksh 23,550.00

Format: Paperback or Softback

ISBN-10: 1891121251

ISBN-13: 9781891121258

Collection / Series: Radar, Sonar and Navigation

Collection Type: Publisher collection

Edition Number: 2

Publisher: SciTech Publishing Inc

Imprint: SciTech Publishing Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Jun 30th, 2004

Publication Status: Active

Product extent: 626 Pages

Weight: 956.00 grams

Dimensions (height x width x thickness): 15.60 x 23.00 x 3.20 cms

Product Classification / Subject(s): Radar

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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.
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, and how to test targets (indoors and out), and how to beat it.

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