書誌事項

Optimised radar processors

edited by A. Farina

(IEE radar, sonar, navigation and avionics series, 1)

Peregrinus, 1987

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内容説明・目次

内容説明

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.

目次

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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