Gini / Rangaswamy Knowledge Based Radar Detection, Tracking and Classification

1. Auflage 2008
ISBN: 978-0-470-28314-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 288 Seiten, E-Book

Reihe: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Discover the technology for the next generation of radar systems
Here is the first book that brings together the key conceptsessential for the application of Knowledge Based Systems (KBS) toradar detection, tracking, classification, and scheduling. The bookhighlights the latest advances in both KBS and radar signal anddata processing, presenting a range of perspectives and innovativeresults that have set the stage for the next generation of adaptiveradar systems.
The book begins with a chapter introducing the concept ofKnowledge Based (KB) radar.
The remaining nine chapters focus on current developments andrecent applications of KB concepts to specific radar functions.Among the key topics explored are:
* Fundamentals of relevant KB techniques
* KB solutions as they apply to the general radar problem
* KBS applications for the constant false-alarm rate processor
* KB control for space-time adaptive processing
* KB techniques applied to existing radar systems
* Integrated end-to-end radar signals
* Data processing with overarching KB control
All chapters are self-contained, enabling readers to focus onthose topics of greatest interest. Each one begins withintroductory remarks, moves on to detailed discussions andanalysis, and ends with a list of references. Throughout thepresentation, the authors offer examples of how KBS works and howit can dramatically improve radar performance and capability.Moreover, the authors forecast the impact of KB technology onfuture systems, including important civilian, military, andhomeland defense applications.
With chapters contributed by leading international researchersand pioneers in the field, this text is recommended for bothstudents and professionals in radar and sonar detection, tracking,and classification and radar resource management.

Autoren/Hrsg.

Gini, Fulvio

Rangaswamy, Muralidhar

Inhaltsverzeichnis

Contributors.
1. Introduction (Fulvio Gini and Muralidhar Rangaswamy).
2. Cognitive Radar (Simon Haykin)
3. Knowledge-Based Radar Signal and Data Processing: A TutorialOverview (Gerard T. Capraro, Alfonso Farina, Hugh D. Griffiths, andMichael C. Wicks).
4. An Overview of Knowledge-Aided Adaptive Radar at DARPA andBeyond (Joseph R. Guerci and Edward J. Baranoski).
5. Space-Time Adaptive Processing for Airborne Radar: AKnowledge-Based Perspective (Michael C. Wicks, MuralidharRangaswamy, Raviraj S. Adve, and Todd B. Hale).
6. CFAR Knowledge-Aided Radar Detection and its DemonstrationUsing Measured Airborne Data (Christopher T. Capraro, Gerard T.Capraro, Antonio De Maio, Alfonso Farina, and Michael C.Wicks).
7. STAP via Knowledge-Aided Covariance Estimation and the FRACAMeta-Algorithms (Shannon D. Blunt, Karl Gerlach, MuralidharRangaswamy, and Aaron K. Shackelford).
8. Knowledge-Based Radar Tracking (Alessio Benavoli, LuigiChisci, Alfonso Farina, Sandro Immediata, and Luca Timmoneri).
9. Knowledge-Based Radar Target Classification (Igal Bilik andJoseph Tabrikian).
10. Multifunction Radar Resource Management (Sergio Luis deCarvalho Miranda, Chris J. Baker, Karl Woodbridge and Hugh D.Griffiths).
Index.

Über Autor(innen)

Fulvio Gini, PhD, IEEE Fellow, is a Full Professor at theUniversity of Pisa, Italy. He was the technical program cochairmanof the 2006 EURASIP Signal and Image Processing Conference(Florence, Italy) and the 2008 IEEE Radar Conference (Rome, Italy).His research interests include radar signal processing;cyclostationary signal analysis; non-Gaussian signal modeling,detection, and estimation; and parameter estimation and dataextraction from multichannel interferometric SAR data. ProfessorGini has coauthored more than eighty refereed journal papers, morethan eighty conference papers, and three book chapters.
Muralidhar Rangaswamy, PhD, IEEE Fellow, is the TechnicalAdvisor for the Radar Signal Processing Branch at the SensorsDirectorate of the Air Force Research Laboratory (AFRL). Hisresearch interests include radar signal processing, spectrumestimation, modeling non-Gaussian interference phenomena, andstatistical communication theory. Dr. Rangaswamy has coauthoredmore than eighty refereed journal and conference papers. Inaddition, he is a contributor to three books and a coinventor ontwo U.S. patents.