Simon Haykin (ed.)

Adaptive Radar Signal Processing

Herausgegeben:Haykin, Simon

• Gebundenes Buch

Produktbeschreibung

The book is one of a kind, describing work completed by Professor Simon Haykin and his collaborates over a period of 20 years. Adaptive Radar presents a detailed account of several issues that are basic to the design of an adaptive radar system: Radar scene analysis, nonlinear dynamics of sea clutter, direction of arrival estimation within a beamwidth, using multitaper spectral estimation, echolocation system of bat, discussion of the basic issues involved in the development of a cognitive radar that learns from its environment on a continuing time basis.

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An Exploration of Key Issues Integral to the Design of Adaptive Radar Systems

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, described by the researchers themselves, have profound implications for defense-related signal processing and remote sensing.

The book is divided into two parts:
_ Part I discusses radar spectral analysis, with emphasis on spectrum estimation of the received signal. Following an introductory chapter, Chapter 2 addresses the low-angle tracking radar problem. Focusing on the target's angle of arrival in the presence of multipath, the authors set forth a spectrum estimation procedure known as the multi-taper, or multiple-window, method. This method accounts for the specular as well as diffuse kinds of multipath, which are integral parts of a physical low-angle tracking radar environment. Chapter 3 builds on the multi-taper method by estimating the power spectrum of the received signal as a function of both time and frequency with emphasis on sea clutter.
_ Part II examines dynamic models of radar returns produced in a marine environment. Chapters 4 and 5 study different approaches to modeling the underlying dynamics responsible for the generation of sea clutter. Chapter 6 completes the discussion by formulating a Bayesian framework for the detection-through-tracking of a target in the presence of sea clutter.

References are provided in each chapter guiding the reader to the original research on which this book is based. This is a must-read for all engineers involved with radar systems-even senior-level engineers will find much new and thought-provoking material.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 248
• Erscheinungstermin: 1. November 2006
• Englisch
• Abmessung: 240mm x 157mm x 21mm
• Gewicht: 537g
• ISBN-13: 9780471735823
• ISBN-10: 0471735825
• Artikelnr.: 22040302

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.