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A source enumeration method based on subspace orthogonality and bootstrap technique

机译:基于子空间正交性和自举技术的源枚举方法

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摘要

A new method is proposed for sources number detection in array signal processing. This method is based on the orthogonality of signal subspace and noise subspace. At first obtain a set of bootstrap snapshots from original snapshots. Then estimate the direction of an arbitrary incident source, make eigen-decomposition of the covariance matrix and compute the weighted inner product vector. Subsequently repeat the above procedures many times to get weighted inner product vectors and calculate the average of them. Finally employ a clustering algorithm to determine the number of sources. The simulation results show the superiority of the proposed method at small number of snapshots and/or low signal-to-noise ratio (SNR).
机译:提出了一种阵列信号处理中源数检测的新方法。该方法基于信号子空间和噪声子空间的正交性。首先,从原始快照中获取一组引导程序快照。然后估计任意入射源的方向,对协方差矩阵进行特征分解,并计算加权内积矢量。随后多次重复上述过程,以获取加权的内积矢量并计算它们的平均值。最后,采用聚类算法来确定源数量。仿真结果表明,该方法在快照数量少和/或信噪比低的情况下具有优越性。

著录项

  • 来源
    《Signal processing》 |2013年第4期|972-976|共5页
  • 作者

    Yunxia Zhang; Nan Hu; Zhongfu Ye;

  • 作者单位

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China,National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui 230027, China;

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China,National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui 230027, China;

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China,National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui 230027, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    array signal processing; bootstrap; eigenvector; source enumeration;

    机译:阵列信号处理;引导程序特征向量源枚举;

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