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Radar Signal Detection Based on Bayesian Hierarchical Models and Image Analysis Techniques

机译:基于贝叶斯分层模型和图像分析技术的雷达信号检测

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摘要

The research undertaken under this effort has two major components. First the application of Bayesian inference theory is applied to problems ranging from Distributed Detection with multiple sensors clutter scene characterization/identification for airborne radar systems to adaptive CFAR detection with heterogeneous clutter. Secondly, multichannel radar detection algorithms are developed that are particularly suitable for airborne radar surveillance systems operating in a complex clutter/interference/noise environments.

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