高频声纳信号听觉分析方法研究
详细信息 查看官网全文
- 英文论文题名：Research on the auditory analysis method of high frequency sonar signal
- 论文作者：李训诰 ; 马宏岩 ; 黄锐
- 英文论文作者：LI Xun-gao ; MA Hong-yan ; Huang Rui ; Navy Submarine Academy
- 年：2016
- 作者机构：海军潜艇学院;
- 论文关键词：高频 ; 信号 ; 听觉
- 英文论文关键词：High frequency ; signal ; hearing
- 会议召开时间：2016-08-21
- 会议录名称：2016’中国西部声学学术交流会论文集
- 语种：中文
- 分类号：TB56
- 学会代码：SXJS
- 会议名称：2016’中国西部声学学术交流会
- 会议地点：中国四川成都
- 主办单位：中国声学学会微声学分会、中国声学学会物理声学分会、陕西省声学学会、浙江省声学学会、山东省声学学会、上海市声学学会、黑龙江省声学学会、水声技术重点实验室、重庆市声学学会、西安市声学学会、四川省声学学会
- 学会名称：《声学技术》编辑部
- 页数：4
- 文件大小：468k
- 原文格式：D
- 会议级别：全国
摘要
论文针对高频声纳信号频率高、持续时间短、人耳无法听测等特点,基于听觉模型的基本原理提出一种新的高频声纳回波信号失真听测方法,较好地解决了高频声纳信号无法通过人耳识别的难题。基于Hilbert谱分析技术,结合人耳的听测,可以利用IMF中心频率、最强IMF左斜率、最强IMF右斜率等特征量对目标类型综合识别,并进行了实验验证。实验结果表明,该方法对于提高高频声纳信号的听音识别能力,提高识别效果具有较强的应用价值。
The arcticle proposed a new frequency transformation method based on the basic principles of auditory model according to the characteristics of high frequency sonar signal which has high frequency, short duration, and the human ear can not listen the noise. The method solved the problem that the high frequency sonar signal can not be distinguished by the human ear. Based on the Hilbert spectrum anaslysis technology, combined the hearing measuremet with human ear, Target type synthesis recognition can be done by using the IMF center requency、the strongest IMF left slope、the strongest IMF right slope, and the experimental vertificatong was done. The experimental verification show that the method has strong application value to improve the ability of listending and recognition and improve the recognition effect.
The arcticle proposed a new frequency transformation method based on the basic principles of auditory model according to the characteristics of high frequency sonar signal which has high frequency, short duration, and the human ear can not listen the noise. The method solved the problem that the high frequency sonar signal can not be distinguished by the human ear. Based on the Hilbert spectrum anaslysis technology, combined the hearing measuremet with human ear, Target type synthesis recognition can be done by using the IMF center requency、the strongest IMF left slope、the strongest IMF right slope, and the experimental vertificatong was done. The experimental verification show that the method has strong application value to improve the ability of listending and recognition and improve the recognition effect.
引文
[1]张贤达.非平稳信号分析与处理[M].北京:国防工业出版社.1999..
[2]居继涛,戴本祁,吴昊,沈阳.改进的HHT非平稳信号分析方法及其应用[J].微计算机信息,2009.8.
[3]毛炜,金荣洪,耿军平,李家强.一种基于改进Hilbert-Huang变换的非平稳信号时频分析法及其应用[J].上海交通大学学报,2006.5.
[4]邸继征.小波分析原理[M].科学出版社.2010.
[2]居继涛,戴本祁,吴昊,沈阳.改进的HHT非平稳信号分析方法及其应用[J].微计算机信息,2009.8.
[3]毛炜,金荣洪,耿军平,李家强.一种基于改进Hilbert-Huang变换的非平稳信号时频分析法及其应用[J].上海交通大学学报,2006.5.
[4]邸继征.小波分析原理[M].科学出版社.2010.