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Target Detection Within Sea Clutter Based on Combined Fractal Characteristics

机译:基于组合分形特性的海杂波内的目标检测

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Using fractal dimension or one of other fractal characteristics to detect targets in sea clutter, it is often difficult to distinguish at low signal-to-clutter ratios. To solve this problem, a new method for target detection in sea clutter based on combined fractal characteristics is proposed. The detection process is divided into two stages: coarse detection and fine detection. When the fractal spectrum dimension of the detection unit is obvious, in the rough detection stage, the corresponding processing is carried out to achieve the target existence decision; when the fractal spectrum dimension characteristic is not obvious, the fractal model fitting error and the fractal dimension change quantity are used as characteristic quantities, and the comprehensive fuzzy membership degree is adopted to carry out the fine target detection. Verified by X-band radar real data, the results show that the proposed method can greatly enhance the detection accuracy of weak targets within sea clutter.
机译:使用分形维数或其他分形特性之一,以检测在海杂波目标,通常难以在低信号杂波比来区分。为了解决这个问题,在基于合成的分形特征海杂波目标检测的新方法提出。检测过程被分为两个阶段:粗略检测和精细检测。当检测单元的分形维数的频谱是显而易见的,在粗检测阶段,相应的处理被执行,以实现目标的存在决定;当分形维数的频谱特性不明显,分形模型拟合误差和分形维数变化量作为特征量,并且全面模糊隶属度采用以进行精细的目标检测。采用X波段雷达真实数据验证,结果表明,该方法可以大大提高弱目标海杂波中检测精度。

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