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  • Space Based Radar: Theory & Applications

    Space Based Radar by Pillai, S; Li, Ke Yong; Himed, Braham;

    Theory & Applications

    Series: ELECTRONICS;

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      • Publisher's listprice GBP 102.99
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    49 203 Ft

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    Product details:

    • Publisher McGraw Hill
    • Date of Publication 16 February 2008

    • ISBN 9780071497565
    • Binding Hardback
    • No. of pages434 pages
    • Size 233x157x27 mm
    • Weight 767 g
    • Language English
    • 0

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    Long description:

    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.


    The First Comprehensive Guide to the Principles, Design Methods, and Applications of Space Based Radar

    Turn to Space Based Radar for authoritative information on the latest developments in Space Based Radar (SBR), covering fundamental principles, cutting-edge design methods, and several new applications. This SBR guide focuses on clutter and target data generation from an SBR platform, and on Space Time Adaptive Processing (STAP) to enhance the target detection and the clutter cancellation capabilities of the radar system.

    Designed to save you hours of research time and effort, this one-stop resource explores the full range of SBR topics, including SBR footprint and range foldover phenomenon…Doppler shift that accounts for Earth's rotation…terrain modeling…STAP algorithms for enhanced target detection…and much more. Packed with over 250 full-color illustrations, Space Based Radar features:

    • Complete coverage of the technical issues associated with SBR and their impact on system performance
    • Website contains more than 250 PowerPoint slides for self-study or lectures, and problems and solutions.

      Inside This Pioneering SBR Sourcebook

      • Introducing Space Based Radar • The Conics • Two Body Orbital Motion and Kepler's Laws • SBR Kinematics • Space Time Adaptive Processing for Space Based Radar • Performance Analysis Using Cramer-Rao Bounds • Waveform Diversity


    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.


    The First Comprehensive Guide to the Principles, Design Methods, and Applications of Space Based Radar

    Turn to Space Based Radar for authoritative information on the latest developments in Space Based Radar (SBR), covering fundamental principles, cutting-edge design methods, and several new applications. This SBR guide focuses on clutter and target data generation from an SBR platform, and on Space Time Adaptive Processing (STAP) to enhance the target detection and the clutter cancellation capabilities of the radar system.

    Designed to save you hours of research time and effort, this one-stop resource explores the full range of SBR topics, including SBR footprint and range foldover phenomenon…Doppler shift that accounts for Earth's rotation…terrain modeling…STAP algorithms for enhanced target detection…and much more. Packed with over 250 full-color illustrations, Space Based Radar features:

    • Complete coverage of the technical issues associated with SBR and their impact on system performance
    • Website contains more than 250 PowerPoint slides for self-study or lectures, and problems and solutions.

      Inside This Pioneering SBR Sourcebook

      • Introducing Space Based Radar • The Conics • Two Body Orbital Motion and Kepler's Laws • SBR Kinematics • Space Time Adaptive Processing for Space Based Radar • Performance Analysis Using Cramer-Rao Bounds • Waveform Diversity

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    Table of Contents:

    Chapter 1. Introducing SBR
    Chapter 2. The Conics
    Chapter 3. Two Body Orbital Motion and Kepler's Laws
    Chapter 4. Space Based Radar: Kinematics
    Chapter 5. Space-Time Adaptive Processing
    Chapter 6. STAP for SBR
    Chapter 7. Performance Analysis Using Cramer-Rao Bounds
    Chapter 8. Waveform Diversity
    Chapter 9. Advanced Topics
    Index

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