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基于ESPRIT方法的直升机声目标特征提取
引用本文:周忠来,栗苹,郑链,施聚生.基于ESPRIT方法的直升机声目标特征提取[J].北京理工大学学报(英文版),1999,8(1):7-13.
作者姓名:周忠来  栗苹  郑链  施聚生
作者单位:北京理工大学机电工程系,北京,100081
摘    要:目的提取直升机声信号谐波频率作为特征用以识别直升机. 方法用旋转不变技术估计信号参数法(ESPRIT)从实测的直升机声信号中提取谐波频率,算法采用SVD-TLS. 结果 ESPRIT方法在直升机不同的飞行条件下,用有限长度的数据准确地提取了声信号的谐波频率. 结论用ESPRIT方法提取直升机声信号谐波频率是十分有效的,将谐波频率作为目标特征用以识别直升机是完全可行的.

关 键 词:直升机  声信号  谐波频率  旋转不变技术估计信号参数法(ESPRIT)  特征提取
收稿时间:1998/5/15 0:00:00

ESPRIT Based Feature Extraction of Helicopter Acoustic Signal
ZHOU Zhong-lai,LI Ping,ZHENG Lian and SHI Ju-sheng.ESPRIT Based Feature Extraction of Helicopter Acoustic Signal[J].Journal of Beijing Institute of Technology,1999,8(1):7-13.
Authors:ZHOU Zhong-lai  LI Ping  ZHENG Lian and SHI Ju-sheng
Affiliation:Department of Engineering Safety, Beijing Institute of Technology, Beijing 100081;Department of Engineering Safety, Beijing Institute of Technology, Beijing 100081;Department of Engineering Safety, Beijing Institute of Technology, Beijing 100081;Department of Engineering Safety, Beijing Institute of Technology, Beijing 100081
Abstract:Aim To extract harmonic frequencies of helicopter acoustic signal as features for hel icopter identification. Methods Estimation of signal parameters via rotational invariance techniques(ESPRIT) was selected to extract harmonic frequencies from really measured helicopter acoustic signal and an algorithm based on the SVD TLS was used. Results ESPRIT correctly extracted harmonic frequencies of helicopter using the data of limited length under the variousflight conditions. Conclusion ESPRIT is an effective method of extracting harmonic frequencies and using harmonic frequencies of helicopter acoustic signal to recognize helicopter is feasible.
Keywords:helicopter  acoustic signal  harmonic frequencies  ESPRIT  feature extraction
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