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水下球状目标的回声识别

ECHO CLASSIFICATION OF UNDERWATER SPHERICAL TARGETS

  • 摘要: 本文研究用似然比方法识别水下目标的能力。文中用统计理论计算出用目标回声的正交样本值来表示的正确识别概率和错误识别概率与门限的依赖关系,从而允许将实验测量中获得的目标回声的正交样本值代入此式求得不同门限值下的上述两个概率值,并绘制出供目标识别用的接收机工作特性曲线。
    从实验中选用的三对目标的结果看出:对这三对目标的识别成绩的优劣是不同的,并且对其中任一对目标都出现识别成绩明显随信噪比的增大而变优。

     

    Abstract: In this paper, the ability of likelihood ratio method to in the classification of underwater spherical targets with same diameters has been investigated. The formulas for probabilities of correct classification and incorrect classification for various threshold are developed based on statistic theory. It is shown that these probabilities depend on the mean value and variance of test function. Both of them can be determined by the quadrature samples of target echoes.
    Three target pairs consistied of four spherical targets were used in experiment. They include a solid steel sphere, a hollow Steel sphere, a hollow aluminium sphere and a solid cement sphere, all have the same diameter (19cm). The results show that the performance indsices of classification (i.e. the area under the ROC curve) for these three target pairs are different and are functions of S/N ratio. As an example, for one pair of them the performance index increases 0.0268 on average as the S/N ratio increases IdB when the S/N ratio takes the value from 0 dB to 5dB. While the average increasing rate becomes 0.0212/dB when the S/N ratio takes from 5 dB to 10 dB.

     

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