严重重尾雷达杂波中的信号检测

G. Tsihrintzis, P. Tsakalides, C. Nikias
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引用次数: 7

摘要

α稳定分布在信号处理界被认为是一种简单但非常准确的双参数统计模型,用于包含不同严重程度的脉冲成分的信号和噪声。在这一发现的基础上,几个信号处理问题已经在α稳定分布的框架内得到解决,并使用分数阶、低阶统计量。我们试图在雷达社区推广这些新的信号处理工具。特别是,我们在雷达环境中评估了α稳定模型的拟合优度,并在真实雷达海杂波数据上测试了新的信号处理算法的信号检测和分类性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal detection in severely heavy-tailed radar clutter
Alpha-stable distributions have been recognized in the signal processing community as simple, yet very accurate, two-parameter statistical models for signals and noise that contain an impulsive component of various degrees of severity. On the basis of this finding, several signal processing problems have been addressed and solved within the framework of alpha-stable distributions and with the use of fractional, lower-order statistics. We attempt to popularize these new signal processing tools within the radar community. In particular, we evaluate the goodness-of-fit of alpha-stable models in the radar environment and test the performance of new signal processing algorithms for signal detection and classification on real radar, sea-clutter data.
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