| 水雷目标识别中的数据融合技术 |
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| 引用本文： | 郭丽华,王大成,丁士圻.水雷目标识别中的数据融合技术[J].海洋技术,2005,24(2):36-38,45. |
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| 作者姓名： | 郭丽华 王大成 丁士圻 |
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| 作者单位： | 哈尔滨工程大学水声工程学院,黑龙江,哈尔滨,150001;哈尔滨工程大学水声工程学院,黑龙江,哈尔滨,150001;哈尔滨工程大学水声工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 主动声纳发射声信号“照射”被识别目标，并从目标产生的回波中提取出目标的特征信息，结合可能得到的先验知识，对目标的类别作出判断。论文偿试把现代信号处理技术与信息融合技术相结合，应用到具体的水雷目标识别领域，以提高水雷回波识别系统的准确性和可靠性。
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| 关 键 词： | 水雷目标识别 信息融合 特征提取 小波变换 波形结构 人工神经网络 |
| 文章编号： | 1003-2029(2005)02-0036-04 |
The Data Fusion Technique in the Recognition of Mine Characteristics |
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| GUO Li-hua,WANG Da-Cheng,DING Shi-qi.The Data Fusion Technique in the Recognition of Mine Characteristics[J].Ocean Technology,2005,24(2):36-38,45. |
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| Authors: | GUO Li-hua WANG Da-Cheng DING Shi-qi |
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| Abstract: | The method of this dissertation is to distinguish the property of the target by echo recognition. Echo recognition obtains feature information of target from its echo to emitted acoustic signal, which is produced by active sonar, and then decides its category by referring to a priori knowledge. The dissertation tries to combine signal processing and information fusion with the application background of mine recognition so as to improve the reliability and accuracy of echo recognition system. |
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| Keywords: | mine target recognition information fusion feature extraction wavelet transform waveform structure artificial neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
