• 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 20 Issue 5
 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Unmanned Undersea Systems  > 2012  >  20(5): 344-347
ZHAO Long-long, SONG Hai-yan. Application of Joint Diagonalization Technology to Spatial Specturm Estimation[J]. Journal of Unmanned Undersea Systems, 2012, 20(5): 344-347. doi: 10.11993/j.issn.1673-1948.2012.05.006
Citation: ZHAO Long-long, SONG Hai-yan. Application of Joint Diagonalization Technology to Spatial Specturm Estimation[J]. Journal of Unmanned Undersea Systems, 2012, 20(5): 344-347. doi: 10.11993/j.issn.1673-1948.2012.05.006
shu

Application of Joint Diagonalization Technology to Spatial Specturm Estimation

doi: 10.11993/j.issn.1673-1948.2012.05.006
  • 1.

    91388th Unit, The people′s Liberation Army of China, Zhanjiang 524022, China

  • 2.

    College of Electrical and Informa-tion Engineering, Heilongjiang Institute of Technology, Harbin 150050, China

  • Received Date: 2012-03-13
  • Rev Recd Date: 2012-04-01
  • Publish Date: 2012-10-20
    Abstract
  • In practical engineering applications, the performance of conventional spatial spectrum estimation method gets degraded due to the effects of noise, interference and sampling effect, etc. In order to reduce these effects on direction of arrival (DOA) estimation, this paper uses the joint diagonalization to construct the joint diagonalization structure of the spatial-time correlation matrix groups, and obtains a spatial spectrum estimation method based on Jacobi rotation or-thogonal joint diagonalization. Thus, corresponding eigenvalues and eigenvectors are utilized to obtain the revised co-variance matrix, and the spatial spectrum estimator is revised. Simulation results show that, under different signal to noise ratio(SNR) and snapshots, the proposed method can significantly improve the DOA estimation performance of the conventional spatial spectrum estimation method.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    王永良, 陈辉, 彭应宁, 等. 空间谱估计理论与算法[M]. 北京: 清华大学出版社, 2004.
    [2]
    Krim H, Viberg M. Two Decades of Array Signal Processing Research[J]. IEEE Signal Processing Magazine, 1996, 13(4): 67-94.
    [3]
    Capon J. High-resolution Frequency-wave Number Spectrum Analysis[J]. Processing of the IEEE, 1969, 57(8): 1408-1418.
    [4]
    Schmidt R O. Multiple Emitter Location and Signal Parame- ter Estimation[J]. IEEE Transaction, 1986, AP-34(3): 276- 280.
    [5]
    Zoltowski M D. High Resolution Sensor Array Signal Pro- cessing in the Beamspace Domain: Novel Techniques Based on the Poor Resolution of Fourier Beamforming[C]//In Proc. Fourth ASSP Workshop Spectrum Estimation Modeling，1988, 8(1): 350-355.
    [6]
    Xu X L, Buckley K M. Reduced-dirmension Beamspace Broadband Source Localization: Preprocessor Design and Evaluation[J]. In Proc. Fourth ASSP Workshop Spectrum estimation Modeling, 1988, 8(1): 22-27.
    [7]
    Wang H, Kaveh M. Estimation of Angles-of-arrival for Wideband Sources[J]. ICASSP, 1984, 9(1): 279-282.
    [8]
    Hung H, Kaveh M. Focusing Matrices for Coherent Sign- al-subspace Processing[J]. IEEE Transaction on ASSP, 1988, 36(8): 1272-1281.
    [9]
    Gardner W A. Exploitation of Spectral Redundancy on Cycl- ostationary Signals[J]. IEEE Transactions Signal Processing Magazine, 1991, 8(4): 14-37.
    [10]
    Xu G, Kailath T. Direction-of-Arrival Estimation via Explo- itation of Cyclostationarity-A Combination of Temporal and Spatial Processing[J]. IEEE Transactions on SP, 1992, 40(7): 1775-1785.
    [11]
    Leyman A R, Durrani T S. Signal Subspace Processing Using Higher Order Statistics[J]. Electronics Letters, 1994, 30(16): 1282-1284.
    [12]
    Leyman A R, Durrani T S. Signal Subspace Techniques for DOA Estimation Using Higher Order Statistics[J]. ICASSP, 1995, 3(1): 1956-1959.
    [13]
    Belouchrani A, Amin M G, Abed-Meraim K. Direction Finding in Correlated Noise Fields Based on Joint Block Diagonalization of Spatio-Temporal Correlation Matrices[J]. IEEE Signal Processing Letters, 1997, 4(9): 266-269.
    [14]
    蒋飚, 朱埜, 孙长瑜. 基于空时相关阵联合对角化的高分辨方位估计. 哈尔滨工程大学学报. 2005, 26(6): 773-776.

    Jiang Biao, Zhu Ye, Sun Chang-yu. High-resolution Direction Finding Based on Joint Block-diagonalization of Spatio- temporal Correlation Matrice[J]. Journal of Harbin Engin- eering University. 2005, 26(6): 773-776.
    [15]
    蒋飚. 基于空时相关阵联合对角化的子空间DOA估计. 声学与电子工程[J]. 2006, 27(Z): 1-3.
    [16]
    宋海岩, 朴胜春. 基于高阶累积量矩阵组正交联合对角化的高分辨方位估计方法[J]. 电子与信息学报. 2010, 32(4): 967-972.

    Song Hai-yan, Piao Sheng-chun. DOA Estimation Method Based on Orthogonal Joint Diagonalization of High-order Cumulant[J]. Journal of Electronics & Information Tech- nology. 2010, 32(4): 967-972.
    [17]
    Cardoso J F, Souloumiac A. Jacobi Angles for Simultaneous Diagonalization[J]. SIAM J Mat Anal, 1996, 17(1): 161-163.
    • 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(1155) PDF Downloads(634) 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