Optimised Radar Processors. Electromagnetics and Radar - Product Image

Optimised Radar Processors. Electromagnetics and Radar

  • ID: 3527974
  • Book
  • IET Books
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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.

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- 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
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A. Farin Professor.

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.

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