Buch, Englisch, 248 Seiten, Format (B × H): 157 mm x 240 mm, Gewicht: 535 g
Buch, Englisch, 248 Seiten, Format (B × H): 157 mm x 240 mm, Gewicht: 535 g
ISBN: 978-0-471-73582-3
Verlag: Turner Publishing Company
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
