Optimised Radar Processors
Published on 30. June 1987
Book
Paperback/Softback
212 pages
978-0-86341-118-2 (ISBN)
Description
This book is devoted to the description of optimum signal processing algorithms which can find useful applications in radar systems. The monograph collects about twenty papers written by the Editor and his colleagues. Structurally the collection of the papers is divided into four parts. The first describes the adaptive cancellation techniques of radar clutter; the second part addresses the challenging problem of finding the optimum detection schemes to deal with target and clutter signals having non-Gaussian probability density function, and any type of autocorrelation function. The third group of papers considers the problem of finding the optimum detection schemes for the case of netted multi-static radar systems. The last part is concerned with more general processing techniques used in radar systems for surveillance.
The aim of this text is to provide a theory of radar signal processing at a level which can be useful to practising radar engineers for analysis and design purposes. The relevance and modernity of the topics described ensure that the book can also be used with benefit for specialised graduate courses in communications and electronic engineering at universities and colleges as well as in continuing education courses for graduate employees in industry.
The aim of this text is to provide a theory of radar signal processing at a level which can be useful to practising radar engineers for analysis and design purposes. The relevance and modernity of the topics described ensure that the book can also be used with benefit for specialised graduate courses in communications and electronic engineering at universities and colleges as well as in continuing education courses for graduate employees in industry.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 297 mm
Width: 210 mm
Thickness: 11 mm
Weight
564 gr
ISBN-13
978-0-86341-118-2 (9780863411182)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Alfonso Farina received his doctorate in electronic engineering from the University of Rome, Italy, in 1973. In 1974 he joined the system analysis group of the Technical Directorate of Selenia S.p.A., where he is now Senior Engineer in the Radar Department. Since 1979, he has also been Professore Incaricato of radar techniques at the University of Naples, and in 1985 he was appointed Associate Professor at the same university. He is also a consultant for the Ministry of Industry. Recently, Dr. Farina was appointed a member of the Radar Systems Panel of the IEEE. His main work interests are in signal and radar data processing techniques. He is the author of more than 60 technical papers, and of a two-volume book, Radar Data Processing, published by Research Studies Press Ltd., England. He has been session chairman at the International Radar Conference in Bangalore, India, 1983, Paris in 1984, Washington, D.C., in 1985, Nanjing, 1986, and London, 1987. He received the 1986 Radar System Panel Award for his work in radar data analysis and tracking at Selenia.
Content
Part 1: Adaptive cancellation of clutter
Chapter 1: Adaptive implementation of the optimum radar signal processor
Chapter 2: Application of Gram-Schmidt algorithm to optimum radar signal processing
Chapter 3: The Gram-Schmidt sidelobe canceller
Chapter 4: Adaptive methods to implement the optimum radar signal processor
Chapter 5: The maximum entropy method and its application to clutter cancellation
Chapter 6: Performance comparison of optimum and conventional MTI and Doppler processors
Chapter 7: Radar detection of correlated targets in clutter
Part 2: Detection theory for non-Gaussian distributed targets and clutter signals
Chapter 8: Coherent radar detection in log-normal clutter
Chapter 9: Advanced models of targets, disturbances and related radar signal processors
Chapter 10: Radar detection of target signals in non- Gaussian clutter: theory and applications
Chapter 11: Theory of radar detection in coherent Weibull clutter
Part 3: Detection for multistatic radar systems
Chapter 12: Optimum and sub-optimum processors for multistatic radar systems
Chapter 13: Multistatic radar detection: synthesis and comparison of optimum and sub-optimum receivers
Chapter 14: Survey on multistatic radar detection
Chapter 15: Multistatic detection of radar signals with Swerling fluctuation type model
Chapter 16: Overview of detection theory in multistatic radar
Part 4: Techniques for surveillance radars
Chapter 17: Surveillance radars: state of the art, research and perspectives
Chapter 18: A review of CFAR detection techniques in radar systems
Chapter 19: Synthesis and evaluation of phase codes for pulse compression radar
Chapter 1: Adaptive implementation of the optimum radar signal processor
Chapter 2: Application of Gram-Schmidt algorithm to optimum radar signal processing
Chapter 3: The Gram-Schmidt sidelobe canceller
Chapter 4: Adaptive methods to implement the optimum radar signal processor
Chapter 5: The maximum entropy method and its application to clutter cancellation
Chapter 6: Performance comparison of optimum and conventional MTI and Doppler processors
Chapter 7: Radar detection of correlated targets in clutter
Part 2: Detection theory for non-Gaussian distributed targets and clutter signals
Chapter 8: Coherent radar detection in log-normal clutter
Chapter 9: Advanced models of targets, disturbances and related radar signal processors
Chapter 10: Radar detection of target signals in non- Gaussian clutter: theory and applications
Chapter 11: Theory of radar detection in coherent Weibull clutter
Part 3: Detection for multistatic radar systems
Chapter 12: Optimum and sub-optimum processors for multistatic radar systems
Chapter 13: Multistatic radar detection: synthesis and comparison of optimum and sub-optimum receivers
Chapter 14: Survey on multistatic radar detection
Chapter 15: Multistatic detection of radar signals with Swerling fluctuation type model
Chapter 16: Overview of detection theory in multistatic radar
Part 4: Techniques for surveillance radars
Chapter 17: Surveillance radars: state of the art, research and perspectives
Chapter 18: A review of CFAR detection techniques in radar systems
Chapter 19: Synthesis and evaluation of phase codes for pulse compression radar