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Sea Clutter: Scattering, the K Distribution and Radar Performance
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In this paper, the authors present an authoritative account of the current understanding of radar sea clutter, including the characteristics of radar clutter, modelling radar scattering by the ocean surface, statistical models of sea clutter and other random processes, detection of small targets in sea clutter.Abstract:
Sea Clutter: Scattering, the K Distribution and Radar Performance, 2nd Edition gives an authoritative account of our current understanding of radar sea clutter. Topics covered include the characteristics of radar sea clutter, modelling radar scattering by the ocean surface, statistical models of sea clutter, the simulation of clutter and other random processes, detection of small targets in sea clutter, imaging ocean surface features, radar detection performance calculations, CFAR detection, and the specification and measurement of radar performance. The calculation of the performance of practical radar systems is presented in sufficient detail for the reader to be able to tackle related problems with confidence. In this second edition the contents have been fully updated and reorganised to give better access to the different types of material in the book. Extensive new material has been added on the Doppler characteristics of sea clutter and detection processing; bistatic sea clutter measurements; electromagnetic scattering theory of littoral sea clutter and bistatic sea clutter; the use of models for predicting radar performance; and use of the K distribution in other fields.read more
Citations
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Journal ArticleDOI
Complex Elliptically Symmetric Distributions: Survey, New Results and Applications
TL;DR: Applications of CES distributions and the adaptive signal processors based on ML- and M-estimators of the scatter matrix are illustrated in radar detection problems and in array signal processing applications for Direction-of-Arrival estimation and beamforming.
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Deep CM-CNN for Spectrum Sensing in Cognitive Radio
TL;DR: A deep neural network is used to intelligently explore the data-driven test statistic in spectrum sensing, where a DNN-based likelihood ratio test (DNN-LRT) is derived to guarantee the optimality of the designed test statistic.
Journal ArticleDOI
Modeling and Simulation of Coherent Sea Clutter
TL;DR: A new technique for modeling and simulating the coherent returns from radar sea clutter, based on the compound K-distribution model for clutter amplitude statistics, is described, and it is shown that simulations can reproduce the main statistical features observed in real measurements.
Journal ArticleDOI
Assessing Pareto fit to high-resolution high-grazing-angle sea clutter
TL;DR: In this paper, the Pareto distribution is used for low-grazing-angle high-resolution radar sea clutter returns and validation of it as a model for radar clutter is provided.
Proceedings ArticleDOI
The Pareto distribution for low grazing angle and high resolution X-band sea clutter
Masoud Farshchian,Fred L. Posner +1 more
TL;DR: In this article, the authors applied the Pareto distribution to the collected data and compared it to the log-normal, Weibull, and K distributions, and found that the two population mixture distributions were more accurate than the three classical distributions.
References
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Journal ArticleDOI
Compound representation of high resolution sea clutter
TL;DR: In this article, a form of compound distribution is proposed to describe the non-Rayleigh distribution and correlation properties of high-resolution radar sea clutter and a possible physical mechanism is discussed.