Simulation of Sea Clutter at Low Grazing Angles

Abstract

An algorithm is presented in this paper to generate correlated coherent sea clutter with high credibility. It can be considered as a high credible simulation result when we generate sea clutter at a condition exactly similar to the measurement condition based on empirical models developed from the measured data. A large number of measurement studies have been taken at low grazing angles and some empirical models have been obtained from these measurements. The paper lists some classical measurement data and their amplitude distribution models. The mean clutter reflectivity and the amplitude distribution of sea clutter is great influenced by the grazing angle. This paper discusses the method to choose a suitable empirical model by the value of grazing angle. By analyzing the range of grazing angle in each measurement condition, the paper displays the relationship between grazing angle and the shape parameter of the related amplitude distribution model. Correlated random sea clutter variates according to the proposed algorithm is generated. The statistical goodness of fit tests on the estimated results is performed to determine the accuracy of the random numbers.

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“…The appropriate selection of the sea clutter model is TSC and the K amplitude distribution for grazing angles smaller than 1°. 12 It is exactly the amplitude distribution of sea clutter that affects the constant false-alarm rate (CFAR) detection process. 13…”

“…The appropriate selection of the sea clutter model is TSC and the K amplitude distribution for grazing angles smaller than 1°. 12 It is exactly the amplitude distribution of sea clutter that affects the constant false-alarm rate (CFAR) detection process. 13 The value of the grazing angle has great influence on the statistic characteristics of the sea clutter, that is why the research for sea clutter is divided into low and high grazing angle sections.…”