| 水下无源声呐目标听觉域张量特征提取方法 |
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| 引用本文： | 康春玉,夏志军,章新华,张忆,郭德鑫.水下无源声呐目标听觉域张量特征提取方法[J].声学学报,2020,45(6):824-829. |
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| 作者姓名： | 康春玉 夏志军 章新华 张忆 郭德鑫 |
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| 作者单位： | 海军大连舰艇学院水武与防化系 大连 116018;海军大连舰艇学院研究生队 大连116018 |
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| 基金项目： | 国家自然科学基金项目(61471378)资助 |
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| 摘 要： | 特征提取是水下无源声呐目标分类识别的关键步骤,提出了一种基于听觉Patterson-Holdsworth耳蜗模型的听觉域张量特征提取方法。将耳蜗模型的滤波器冲激响应视为信号分解的基函数,根据听觉模型非线性尺度或常规线性尺度确定不同通道的中心频率,然后计算出相应通道的增益和带宽,并量化冲激响应的阶数和相位参数,得到信号分解基,再根据信号分解原理得到通道数×阶数×相位数的三阶张量特征,并通过计算测试样本张量特征与训练样本张量特征间的相似性实现了水下无源声呐目标的分类识别。海上实录无源声呐目标的分类识别实验表明,提取的张量特征具有比较好的分类识别性能,听觉模型等效矩形带宽尺度优于线性尺度划分中心频率,能够提高无源声呐的目标指示能力。
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| 收稿时间： | 2020-04-03 |
Tensor feature extraction of underwater passive sonar target based on auditory model |
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| Affiliation: | 1 Department of Underater Wraponry and Chemioal Defense, DaLian Nawy Academy Dalian 116018;2 Department of Graduate StudentDaLian Nay Academy DaLian 116018 |
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| Abstract: | Feature extraction is a key step of underwater passive sonar target classification and recognition.A kind of tensor feature extraction method based on auditory Patterson-Holdsworth cochlear model is proposed.First,the filter impulse response of the cochlear model is regarded as the basis function of signal decomposition,and the center frequency of different channels is determined according to the nonlinear scale or conventional linear scale of the auditory model.Then,the gain and bandwidth of the corresponding channel are calculated,and the order and phase parameters of the impulse response are quantified to obtain a signal decomposition basis.And according to the principle of signal decomposition,the third-order tensor features of channel number-order-phase number are obtained.Finally,the classification and recognition of underwater passive sonar target is realized by calculating the similarity between test sample tensor feature and training sample tensor feature.The experiment of passive sonar target classification and recognition shows that the extracted tensor features have better classification and recognition performance,and the equivalent rectangular bandwidth scale of auditory model is better than the linear scale to divide the center frequency,which can improve the target indication ability of passive sonar. |
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