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Performance analysis of two adaptive radar detectors against non-Gaussian real sea clutter data

机译:两个自适应雷达探测器针对非高斯真实海杂波数据的性能分析

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摘要

The performance of two adaptive detection schemes developed in the literature, Kelly's generalized likelihood ratio test (GLRT) and the adaptive linear-quadratic (ALQ) detector, are tested on real sea clutter data recorded by the IPIX experimental radar. The results of first- and second-order statistical analyses performed on two data sets are reported. Amplitude analysis has been carried out by checking the fitting to Weibull, log-normal, K, and generalized K models. The results show good agreement between performance prediction based on the generalized K model, with texture strongly correlated among primary and secondary data, and the performance obtained by processing the real sea clutter data.
机译:在IPIX实验雷达记录的真实海杂波数据上测试了文献中开发的两种自适应检测方案的性能,凯利的广义似然比测试(GLRT)和自适应线性二次(ALQ)检测器。报告对两个数据集进行的一阶和二阶统计分析的结果。通过检查对Weibull,对数正态,K和广义K模型的拟合来进行幅度分析。结果表明,基于广义K模型的性能预测与主要数据和次要数据之间的强相关性与通过处理实际海杂波数据获得的性能之间具有良好的一致性。

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