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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2006  >  35(4): 454-457

CUI Huai-lin, FENG Xi-an, LI Zhi-shun. Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(4): 454-457.
Citation: CUI Huai-lin, FENG Xi-an, LI Zhi-shun. Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(4): 454-457.
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Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation

  • 1.

    Department of Electronic and Communication Engineering of Marine College,Northwestern Polytechnical University Xi'an 710072

  • Received Date: 2005-10-14
  • Publish Date: 2006-08-15
  • To overcome the problem of signal-subspace dimension expanding, three different improved methods for wideband signal-subspace spatial-spectrum estimation are presented. The first method, called the signal-subspace dimension estimation method, estimates signal-subspace dimension by a number of eigenvalues, which include 99.9% signal power; thus this method can make a correct division between signal-subspace and noise-subspace. The other two methods. weighted noise-subspace method and extended MUSIC method, do not need to make a correct division between the two subspaces. Instead. These two methods can reduce the effect of signal-subspace dimension expanding directly by using weighted eigenvectors in the noise-subspace or the entire space. Computer simulations show that all these improved methods can overcome effectively the effect of signal-subspace dimension expanding of wideband signal-subspace spatial-spectrum estimation and possess good statistical performance.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation

  • 1. Department of Electronic and Communication Engineering of Marine College,Northwestern Polytechnical University Xi'an 710072
  • Received Date: 2005-10-14
  • Publish Date: 2006-08-15

Abstract: To overcome the problem of signal-subspace dimension expanding, three different improved methods for wideband signal-subspace spatial-spectrum estimation are presented. The first method, called the signal-subspace dimension estimation method, estimates signal-subspace dimension by a number of eigenvalues, which include 99.9% signal power; thus this method can make a correct division between signal-subspace and noise-subspace. The other two methods. weighted noise-subspace method and extended MUSIC method, do not need to make a correct division between the two subspaces. Instead. These two methods can reduce the effect of signal-subspace dimension expanding directly by using weighted eigenvectors in the noise-subspace or the entire space. Computer simulations show that all these improved methods can overcome effectively the effect of signal-subspace dimension expanding of wideband signal-subspace spatial-spectrum estimation and possess good statistical performance.

CUI Huai-lin, FENG Xi-an, LI Zhi-shun. Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(4): 454-457.
Citation: CUI Huai-lin, FENG Xi-an, LI Zhi-shun. Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(4): 454-457.
shu

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