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兵工学报 ›› 2015, Vol. 36 ›› Issue (9): 1704-1709.doi: 10.3969/j.issn.1000-1093.2015.09.015

• 论文 • 上一篇    下一篇

水下目标的Gammatone子带降噪和希尔伯特-黄变换特征提取

王曙光1, 曾向阳1, 王征2, 王强1   

  1. (1.西北工业大学 航海学院, 陕西 西安 710072; 2.中国船舶工业集团公司, 北京 100048)
  • 收稿日期:2015-01-23 修回日期:2015-01-23 上线日期:2015-11-20
  • 作者简介:王曙光(1986—)男博士研究生
  • 基金资助:
    陕西省自然科学基金项目(2012JM1010)

Gammatone Subband Denoising and HHT-based Feature Extraction for Underwater Targets

WANG Shu-guang1, ZENG Xiang-yang1, WANG Zheng2, WANG Qiang1   

  1. (1.School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China;2.China State Shipbuilding Corporation, Beijing 100048, China)
  • Received:2015-01-23 Revised:2015-01-23 Online:2015-11-20

摘要: 水下目标识别是水声探测中的关键技术,具有重要的应用价值。海洋环境的复杂性导致水下目标识别中存在不可回避的噪声干扰。以人耳听觉机理为基础,提出了一种结合Gammatone滤波器、小波阈值降噪和希尔伯特-黄变换(HHT)的水下目标识别方法。采用Gammatone滤波器实现人耳听觉机理的模拟,并在此基础上进行小波阈值降噪,提高系统的噪声鲁棒性,然后利用HHT进行时频分析和特征提取。利用实际水下目标数据进行识别实验,对提出的方法进行了验证。实验结果表明,提出的方法在低信噪比条件下具有良好的鲁棒性,并具有较好的识别效果。

关键词: 声学, 水下目标识别, 人耳听觉, Gammatone滤波器, 希尔伯〖JP9〗特-〖JP〗黄变换

Abstract: Underwater target recognition, as a key technique, places a great role in underwater acoustic detection. The inevitable noises decrease the performance of the system in the complex underwater acoustic environments. An underwater target recognition algorithm which includes Gammatone filter bank, wavelet threshold denoising and Hilbert-Huang transform (HHT) is proposed based on auditory perception mechanism. Gammatone filter bank is used for the simulation of auditory perception, and the wavelet threshold denoising is applied to enhance the noise robustness of the system. Hilbert-Huang transform is employed as the time frequency analysis tool and used for feature extraction. At last, the efficiency of the proposed algorithm is testified by using the measured underwater target data in the recognition experiment. The results show that the proposed method has a robust performance and good accuracy under the condition of low SNR.

Key words: acoustics, underwater target recognition, auditory perception, Gammatone filter bank, Hilbert-Huang transform

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