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中文摘要：
针对海杂波的非平稳性和长相关性，提出一种基于扩展分形多尺度Hurst参数的目标检测算法。该方法首先将扩展分形理论与模式识别中的分类方法相结合，提取杂波和目标的多尺度Hurst参数以构成特征矢量，并引入模式识别中的可分性判据来进行特征矢量的选取，然后采用Bayes分类方法进行目标检测。利用IPIX雷达实测数据的实验结果表明，文中提出的算法比基于分维值的检测算法有更好的检测性能。
英文摘要：
In view of instability and long correlativity of sea clutter, this paper presents a target detection algorithm based on extended Fractal multi-scale Hurst parameters. This method is firstly used to integrate extended Fractal theory and classification in pattern recognition so as to extract clutter and multi-scale Hurst parameters of the target to form characteristic vector and carry out selection of characteristic vector by introducing separability criteria in pattern recognition; and then, Bayesian classification is used to perform target detection. The experimental results by using IPIX radar-measured data show that the de tection algorithm presented in the paper has better detection performance than that based on the fractal dimension value.
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