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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。
This paper studies the ability to recognize underwater targets using the likelihood ratio approach. In this paper, statistical theory is used to calculate the correct recognition probability and the threshold dependence of the probability of the target echoes orthogonal sample values to allow the orthogonal sample values of the target echo obtained in the experimental measurement to be substituted into this equation Different threshold values of the above two probability values, and draws for the target recognition receiver operating characteristic curve. From the results of the three pairs of experiments selected in the experiment, we can see that the recognition results of these three pairs of targets are different, and the performance of any one pair of targets is obviously improved with the increase of signal-to-noise ratio .