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目标声 /地震动信号特征提取
引用本文:张中民,李科杰,李贵涛,尚雅玲. 目标声 /地震动信号特征提取[J]. 北京理工大学学报(英文版), 2000, 9(3): 312-317
作者姓名:张中民  李科杰  李贵涛  尚雅玲
作者单位:北京理工大学机电工程与控制国家级重点实验室!北京100081
基金项目:National 9thFiveYearAdvancedResearchProject
摘    要:声和地震动传感器通常是构成地面传感器侦察系统的基本单元 .在分析战场常见的目标噪声场和地震动场特性的基础上 ,根据目标声 /地震动信号的非平稳特性 ,对目标声 /地震动信号进行了时 频分析 .提出了窄带能量函数 (NEF)和局部功率谱密度 (LPSD)的分析方法 ,有效地从目标声 /地震动信号时 频分布中提取各种目标的特征参数

关 键 词:时频分析  窄带能量函数(NEF)  局部功率谱密度(LPSD)
收稿时间:1999-10-23

Feature Extraction of Acoustic/Seismic Signal of Target
ZHANG Zhong-min,LI Ke-jie,LI Gui-tao and SHANG Ya-ling. Feature Extraction of Acoustic/Seismic Signal of Target[J]. Journal of Beijing Institute of Technology, 2000, 9(3): 312-317
Authors:ZHANG Zhong-min  LI Ke-jie  LI Gui-tao  SHANG Ya-ling
Affiliation:National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081;National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081;National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081;National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081
Abstract:A microphone and a seismic sensor always become a basic unit of UGS(unattended ground sensors) system. The mechanism of acoustic and seismic property of target and its propagation are described. The acoustic and seismic signals of targets are analyzed with time frequency distribution according to its non stationary property. Narrow band energy function (NEF) and local power spectral density (LPSD) are proposed to extract features for target identification. Experiment results show that local power spectral density indicates corresponding target clearly.
Keywords:time frequency analysis  narrow band energy function (NEF)  local power spectral density(LPSD)
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