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Detection and Estimation for Communication and Radar Systems

Detection and Estimation for Communication and Radar Systems

Detection and Estimation for Communication and Radar Systems

Kung Yao, University of California, Los Angeles
Flavio Lorenzelli, The Aerospace Corporation, Los Angeles
Chiao-En Chen, National Chung-Cheng University, Taiwan
February 2013
Hardback
9780521766395
$98.00
USD
Hardback
USD
eBook

    Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.

    • Includes an introductory chapter reviewing probability concepts and random processes, providing the necessary background for the rest of the book
    • Advanced concepts are illustrated with numerous practical examples based on the authors' extensive experience in industry
    • Contains a variety of analytical and computational homework problems with a range of difficulties to aid understanding

    Product details

    February 2013
    Hardback
    9780521766395
    332 pages
    249 × 178 × 23 mm
    0.74kg
    Available

    Table of Contents

    • 1. Introduction and motivation to detection and estimation
    • 2. Review of probability and random processes
    • 3. Statistical hypothesis testing theory
    • 4. Detection of deterministic binary signals in Gaussian noises
    • 5. M-ary detection and classification of deterministic signals
    • 6. Non-coherent detection
    • 7. Parameter estimation
    • 8. Analytical and simulation methods for system performance analysis and design.
    Resources for
    Type
    Even-numbered solutions
    Size: 562.74 KB
    Type: application/pdf
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    Odd-numbered solutions
    Size: 794.38 KB
    Type: application/pdf