Optimised Radar Processors

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.

• Part 1: Adaptive cancellation of clutterChapter 1: Adaptive implementation of the optimum radar signal processorChapter 2: Application of Gram-Schmidt algorithm to optimum radar signal processingChapter 3: The Gram-Schmidt sidelobe cancellerChapter 4: Adaptive methods to implement the optimum radar signal processorChapter 5: The maximum entropy method and its application to clutter cancellationChapter 6: Performance comparison of optimum and conventional MTI and Doppler processorsChapter 7: Radar detection of correlated targets in clutterPart 2: Detection theory for non-Gaussian distributed targets and clutter signalsChapter 8: Coherent radar detection in log-normal clutterChapter 9: Advanced models of targets, disturbances and related radar signal processorsChapter 10: Radar detection of target signals in non- Gaussian clutter: theory and applicationsChapter 11: Theory of radar detection in coherent Weibull clutterPart 3: Detection for multistatic radar systemsChapter 12: Optimum and sub-optimum processors for multistatic radar systemsChapter 13: Multistatic radar detection: synthesis and comparison of optimum and sub-optimum receiversChapter 14: Survey on multistatic radar detectionChapter 15: Multistatic detection of radar signals with Swerling fluctuation type modelChapter 16: Overview of detection theory in multistatic radarPart 4: Techniques for surveillance radarsChapter 17: Surveillance radars: state of the art, research and perspectivesChapter 18: A review of CFAR detection techniques in radar systemsChapter 19: Synthesis and evaluation of phase codes for pulse compression radar