一种时频综合的DEMON谱融合方法
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- 英文论文题名：A time-frequency-based comprehensive DEMON spectrum intergration analysis method
- 论文作者：骆国强 ; 尚金涛 ; 杨柳
- 英文论文作者：LUO Guo-qiang ; SHANG Jin-tao ; YANG Liu ; Hangzhou Applied Acoustics Reasearch Institute ; Science and Technology on Sonar Laboratory
- 年：2016
- 作者机构：声纳技术重点实验室;
- 论文关键词：DEMON谱 ; 信息熵 ; 时频综合
- 英文论文关键词：target-radiated noise ; power spectrum ; searching method point-by-point ; fusion processing
- 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：3
- 文件大小：519k
- 原文格式：D
- 会议级别：全国
摘要
DEMON谱特征是目标分类识别的重要特征,反映了螺旋桨轴频、叶片数等物理特征信息。不同解调频段调制指数、调制结构有所差别,单一频段解调结果不能准确表征噪声目标调制情况,而背景噪声的时变起伏特性导致不同时间段DEMON谱调制强弱也不同。文中给出了一种时频综合的DEMON谱融合方法,该方法通过信息熵处理和时频综合实现了不同解调频段和不同时段DEMON谱的有效融合,提高了目标解调线谱强度,为更好估计螺旋桨轴频、叶片数等参数信息奠定了基础。仿真和试验数据分析结果表明,该方法可有效提高DEMON线谱信噪比,可实现DEMON谱的全景观测。
Demon spectrum is an important feature for the target classification and identification. It reflects some physical characteristics datum such as the propeller shaft frequency and vane number. The modulation indexes and the modulation structure of the different demodulation frequency band will be different. The single frequency band demodulation spectrum can't accurately demonstrate the noise modulation situation, and the time-varying fluctuation feature of background noise results in different strength of DEMON spectrum modulation in different periods. The paper presents a time-frequency-based comprehensive DEMON spectrum integration method. The method achieves the effective integration of DEMON spectrum in different modulation bands and different periods by information entropy treatment and time-frequency integration to improve the target demodulation line spectrum strength and lay a foundation for better estimation on some parameters like propeller shaft frequency and vane number. The simulation and test datum analysis results indicate the DEMON method can effectively improve DEMON line spectrum signal to noise ratio.
Demon spectrum is an important feature for the target classification and identification. It reflects some physical characteristics datum such as the propeller shaft frequency and vane number. The modulation indexes and the modulation structure of the different demodulation frequency band will be different. The single frequency band demodulation spectrum can't accurately demonstrate the noise modulation situation, and the time-varying fluctuation feature of background noise results in different strength of DEMON spectrum modulation in different periods. The paper presents a time-frequency-based comprehensive DEMON spectrum integration method. The method achieves the effective integration of DEMON spectrum in different modulation bands and different periods by information entropy treatment and time-frequency integration to improve the target demodulation line spectrum strength and lay a foundation for better estimation on some parameters like propeller shaft frequency and vane number. The simulation and test datum analysis results indicate the DEMON method can effectively improve DEMON line spectrum signal to noise ratio.
引文
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[4]Fei Bao,Xinlong Wang,Zhiyong Tao,et al.Adaptive Extraction of Modulation for Cavitation Noise[J].J.Acous.Soc.Am.,2009,126(6):3106-3108.
[2]Pascal Clark,Ivars Kirsteins,Les Atlas.Multiband Analysis for Colored Amplitude-Modulated Ship Noise[J].IEEE,2010:3970-3973.
[3]Guangzhi Shi,Junchuan Hu,Mei Han,Yuyang Li.Underwater Acoustic Target Recognition Based on Multi-timeslice Demodulation Line Spectrum Feature[J].IEEE,2008:835-839.
[4]Fei Bao,Xinlong Wang,Zhiyong Tao,et al.Adaptive Extraction of Modulation for Cavitation Noise[J].J.Acous.Soc.Am.,2009,126(6):3106-3108.