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文章基本信息

  • 标题:Fast Algorithm for DOA Estimation with Partial Covariance Matrix and without Eigendecomposition
  • 本地全文:下载
  • 作者:Jianfeng Chen ; Yuntao Wu ; Hui Cao
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2011
  • 卷号:2
  • 期号:4
  • 页码:266-269
  • DOI:10.4236/jsip.2011.24037
  • 出版社:Scientific Research Publishing
  • 摘要:A fast algorithm for DOA estimation without eigendecomposition is proposed. Unlike the available propagation method (PM), the proposed method need only use partial cross-correlation of array output data, and hence the computational complexity is further reduced. Moreover, the proposed method is suitable for the case of spatially nonuniform colored noise. Simulation results show the performance of the proposed method is comparable to those of the existing PM method and the standard MUSIC method.
  • 关键词:Fast Algorithm; DOA Estimation; Subspace-Based Method
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