Adaptive Radar Signal Processing (eBook, PDF)

Redaktion: Haykin, Simon

• Format: PDF

Produktbeschreibung

This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for defense-related signal processing and remote sensing. References are provided in each chapter guiding the reader to the original research on which this book is based.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 248
• Erscheinungstermin: 17. Januar 2007
• Englisch
• ISBN-13: 9780470069110
• Artikelnr.: 37290130

Autorenporträt

SIMON HAYKIN, PhD, is Distinguished University Professor in the Department of Electrical and Computer Engineering at McMaster University. He has pioneered signal-processing techniques and systems for radar and communication applications, and authored several acclaimed textbooks. Dr. Haykin has received numerous awards for his research including Honorary Doctor of Technical Sciences from ETH Zurich, Switzerland, and the first International Union of Radio Science Henry Booker Gold Medal.

Inhaltsangabe

Preface. Contributors List. 1. Introduction (Simon Haykin). Experimental
Radar Facilities. Organization of the Book. Part I Radar Spectral Analysis.
2. Angle-of-Arrival Estimation in the Presence of Multipath (Anastasios
Drosopoulos and Simon Haykin). 2.1 Introduction. 2.2 The Low-Angle Tracking
Radar Problem. 2.3 Spectrum Estimation Background. 2.4 Thomson's
Multi-Taper Method. 2.5 Test Dataset and a Comparison of Some Popular
Spectrum Estimation Procedures. 2.6 Multi-taper Spectrum Estimation. 2.7
F-Test for the Line Components. 2.8 Experimental Data Description for a
Low-Angle Tracking Radar Study. 2.9 Angle-of-Arrival (AOA) Estimation. 2.10
Diffuse Multipath Spectrum Estimation. 2.11 Discussion. References. 3.
Time-Frequency Analysis of Sea Clutter (David J. Thomson and Simon Haykin).
3.1 Introduction. 3.2 An Overview of Nonstationary Behavior and
Time-Frequency Analysis. 3.3 Theoretical Background on Nonstationarity. 3.4
High-Resolution Multi-taper Spectrograms. 3.5 Spectrum Analysis of Radar
Signals. 3.6 Discussion. References. Part II Dynamic Models. 4. Dynamics of
Sea Clutter (Simon Haykin, Rembrandt Bakker, and Brian Currie). 4.1
Introduction. 4.2 Statistical Nature of Sea Clutter: Classical Approach.
4.3 Is There a Radar Clutter Attractor? 4.4 Hybrid AM/FM Model of Sea
Clutter. 4.5 Discussion. References. Appendix A Specifi cations of the
Three Sea-Clutter Sets Used in This Chapter. 5. Sea-Clutter
Nonstationarity: The Infl uence of Long Waves (Maria Greco and Fulvio
Gini). 5.1 Introduction. 5.2 Radar and Data Description. 5.3 Statistical
Data Analyses. 5.4 Modulation of Long Waves: Hybrid AM/FM Model. 5.5
Nonstationary AR Model. 5.6 Parametric Analysis of Texture Process. 5.7
Discussion. References. 6. Two New Strategies for Target Detection in Sea
Clutter (Rembrandt Bakker, Brian Currie, and Simon Haykin). 6.1
Introduction. 6.2 Bayesian Direct Filtering Procedure. 6.3 Operational
Details. 6.4 Experimental Results on the Bayesian Direct Filter. 6.5
Additional Notes on the Bayesian Direct Filter. 6.6 Correlation Anomally
Detection Strategy. 6.7 Experimental Comparison of the Bayesian Direct
Filter and Correlation Anomaly Receiver. 6.8 Discussion. References. Index.