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为了提高了目标识别的准确率,提出一种基于光纤传感器的目标识别方法。该方法首先采用光纤传感器收集目标信号,并采用经验模态分解对目标信号进行预处理消除信号中的噪声,然后采用核主成分分析法对目标信号特征进行提取,降低特征维数的同时,有效消除一些冗余特征,最后采用高斯模型建立目标识别的分类器,并采用具体仿真测试实验验证目标识别性能。测试结果表明,本文方法可以准确描述目标的类别,提高了目标识别速度和精度,极大程度地降低了误识率,在目标识别领域有广阔的应用前景。
In order to improve the accuracy of target recognition, a target recognition method based on optical fiber sensor is proposed. Firstly, the optical fiber sensor was used to collect the target signal, and the signal was preprocessed by EMD to eliminate the noise in the signal. Then, the principal component analysis (PCA) method was used to extract the feature of the target signal and reduce the feature dimension. Eliminate some redundant features, and finally use Gaussian model to establish the target recognition classifier, and verify the target recognition performance by simulation experiments. The test results show that the proposed method can accurately describe the categories of targets, improve the speed and accuracy of target recognition, greatly reduce the misclassification rate and have broad application prospects in the field of target recognition.