Underwater Target Recognition Based on Module Time-frequency Matrix

Xi Xu, Min Shi
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Abstract

Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.
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基于模时频矩阵的水下目标识别
研究了基于模时频矩阵相似度s变换的水下目标识别方法。计算测试样本的模时频矩阵s变换与正常样本s变换的相似率。根据最大相似度原则对测试样本进行分类。该方法可以在不使用辅助分类器的情况下直接实现目标识别。计算过程简单、快速。仿真和测试结果表明,该方法具有识别率高、对噪声不敏感等特点,适用于水下目标识别。
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