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Floating small target detection in sea clutter via normalised Hurst exponent

机译:通过归一化的赫斯特指数对海杂波中的漂浮小目标进行检测

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摘要

An improved fractal-based detector using the normalised Hurst exponent is proposed to detect floating small targets in sea clutter. Analysis of the IPIX radar datasets shows that the Hurst exponent of sea clutter varies with sea state and the viewing geometry of the radar. Referring to the exploitation of the reference range cells in adaptive detection, the mean and variance of the Hurst exponent of sea clutter are first computed from clutter-only time series at the reference range cells around the cell under test (CUT). Then the Hurst exponent at the CUT is normalised by the estimated mean and variance to attain the normalised Hurst exponent. The experimental results of the IPIX radar datasets show that the fractal-based detector using the normalised Hurst exponent achieves better detection performance.
机译:提出了一种使用归一化的赫斯特指数的基于分形的改进检测器,用于检测海杂波中的漂浮小目标。对IPIX雷达数据集的分析表明,海杂波的赫斯特(Hurst)指数随海况和雷达的视线几何形状而变化。关于在自适应检测中对参考范围单元的利用,首先根据被测单元(CUT)周围参考范围单元的纯杂乱时间序列计算海杂波的赫斯特指数的均值和方差。然后,通过估计的均值和方差对CUT处的Hurst指数进行归一化,以获得归一化的Hurst指数。 IPIX雷达数据集的实验结果表明,使用归一化Hurst指数的分形检测器具有更好的检测性能。

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