Welcome to Journal of Beijing Institute of Technology
Volume 8Issue 1
.
Turn off MathJax
Article Contents
ZHOU Zhong-lai, LI Ping, ZHENG Lian, SHI Ju-sheng. ESPRIT Based Feature Extraction of Helicopter Acoustic Signal[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 1999, 8(1): 7-13.
Citation: ZHOU Zhong-lai, LI Ping, ZHENG Lian, SHI Ju-sheng. ESPRIT Based Feature Extraction of Helicopter Acoustic Signal[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 1999, 8(1): 7-13.

ESPRIT Based Feature Extraction of Helicopter Acoustic Signal

  • Received Date:1998-05-15
  • 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.
  • loading
  • [1]
    Roy R, Paulr aj A. ESPRIT !A subspace rotation approach to estimation of parameters of cisodsin noise. IEEE Trans Acoust, Speech, Signal Processing , 1986, 30: 1340- 1342
    [2]
    Roy R, Kailath T. ESPRIT !Estimation of signal parameters via r otat ional invariance tech??niques. IEEE T rans Acoust, Speech, Signal Processing, 1989, 37: 984- 995
    [3]
    Zhang X D, Liang Y C. Pr efilter ing??based ESPRIT for est imating parameters of sinusoids in non??Gaussian ARMA noise. IEEE Trans Signal Processing , 1995, 43: 349- 353
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (217) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

      Return
      Return
        Baidu
        map