• 中国科技核心期刊
  • Scopus收录期刊
  • DOAJ收录期刊
  • JST收录期刊
  • Euro Pub收录期刊
Volume 28 Issue 2
 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Unmanned Undersea Systems  > 2020  >  28(2): 168-173
WANG Sha, SHI Bo, HAO Cheng-peng. Monopulse Dimension-Reduced Space-Time Adaptive Processing Based on Persymmetric Array[J]. Journal of Unmanned Undersea Systems, 2020, 28(2): 168-173. doi: 10.11993/j.issn.2096-3920.2020.02.008
Citation: WANG Sha, SHI Bo, HAO Cheng-peng. Monopulse Dimension-Reduced Space-Time Adaptive Processing Based on Persymmetric Array[J]. Journal of Unmanned Undersea Systems, 2020, 28(2): 168-173. doi: 10.11993/j.issn.2096-3920.2020.02.008
shu

Monopulse Dimension-Reduced Space-Time Adaptive Processing Based on Persymmetric Array

doi: 10.11993/j.issn.2096-3920.2020.02.008
  • 1.

    Key Laboratory of Information Technology for Autonomous Underwater Vehicles, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

  • Received Date: 2019-04-22
  • Rev Recd Date: 2019-07-07
  • Publish Date: 2020-04-30
    Abstract
  • Reverberation is one of the main interference in the underwater environment, which seriously affects the detection performance of sonar system. Monopulse space-time adaptive processing(STAP) is more suitable for the underwater acoustic environment and can effectively improve the reverberation suppression capability of the moving sonar. However, there are two limitations of huge computational burden and insufficient secondary data in monopulse STAP in practical applications. In this paper, the persymmetric property of the array is applied to the monopulse joint domain localization(JDL)-STAP algorithm. Simulation results show that this algorithm can reduce the dependence on auxiliary data, improve the estimation accuracy of the reverberation covariance matrix, effectively reduce the calculation amount, improve the suppression performance of reverberation and greatly improve the performance of target azimuth estimation.

     

    • FullText(HTML)
  • loading
    • References(13)
  • [1]
    Ward J. Space-Time Adaptive Processing for Airborne Radar[R]. Lexington: Lincoln Laboratory, 1994.
    [2]
    Brennan L E, Reed I S. Theory of Adaptive Radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.
    [3]
    郝程鹏, 施博, 闫晟, 等. 主动声呐混响抑制与目标检测技术[J]. 科技导报, 2017, 35(20): 102-108.

    Hao Cheng-peng, Shi Bo, Yan Sheng, et al. Reverberation Suppression and Target Detection for Active Sonar[J]. Science & Technology Review, 2017, 35(20): 102-108.
    [4]
    Melvin W L. A STAP Overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1): 19-35.
    [5]
    Klemm R. Principles of Space-Time Adaptive Processing[M]. London: Institution of Engineering and Technology, 2006: 545-558.
    [6]
    Dipietro R C. Extended Factored Space-Time Processing for Airborne Radar Systems[C]//Conference on Signals, Pacific Grove, CA, USA: IEEE, 1992: 425-430.
    [7]
    Wang H, Cai L. On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 660-669.
    [8]
    Tong Y, Wang T, Wu J. Improving EFA-STAP Performance Using Persymmetric Covariance Matrix Estimation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 924-936.
    [9]
    Wang P, Sahinoglu Z, Pun M, et al. Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection[J]. IEEE Transactions on Signal Processing, 2012, 60(6): 3322-3328.
    [10]
    Pailloux G, Forster P, Ovarlez J P, et al. Persymmetric Adaptive Radar Detectors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 2376- 2390.
    [11]
    Hao C, Orlando D, Ma X, et al. Persymmetric Rao and Wald Tests for Partially Homogeneous Environment[J]. IEEE Signal Processing Letters, 2012, 19(9): 587-590.
    [12]
    Huarng K C, Yeh C C. A Unitary Transformation Method for Angle-Of-Arrival Estimation[J]. IEEE Transactions on Signal Processing, 1991, 39(4): 975-977.
    [13]
    Zhao Y, Wan S, Lu S, et al. Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing[J]. Access IEEE, 2018, 6: 68001-68012.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(395) PDF Downloads(127) Cited by()
    Proportional views
    Related
    Service
    Subscribe
    Copyright：陕ICP备09015163号Address:No. 96, Jinye Road, Xi'an, Shaanxi
    Code：710077Tel: 029-88327279QQ: 767358370
    Email: bianjibu705@sohu.com 767358370@qq.com
    Email Alert RSS
    Taobao
    Micro

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return