Source localization using recursively applied and projected (RAP) MUSIC

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A new method for source localization is described that is based on a modification of the well known multiple signal classification (MUSIC) algorithm. In classical MUSIC, the array manifold vector is projected onto an estimate of the signal subspace, but errors in the estimate can make location of multiple sources difficult. Recursively applied and projected (RAP) MUSIC uses each successively located source to form an intermediate array gain matrix, and projects both the array manifold and the signal subspace estimate into its orthogonal complement. The MUSIC projection is then performed in this reduced subspace. Using the metric of principal angles, ... continued below

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8 p.

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Mosher, J.C. & Leahy, R.M. March 1, 1998.

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  • Mosher, J.C. Los Alamos National Lab., NM (United States)
  • Leahy, R.M. Univ. of Southern California, Los Angeles, CA (United States). Signal and Image Processing Inst.

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Description

A new method for source localization is described that is based on a modification of the well known multiple signal classification (MUSIC) algorithm. In classical MUSIC, the array manifold vector is projected onto an estimate of the signal subspace, but errors in the estimate can make location of multiple sources difficult. Recursively applied and projected (RAP) MUSIC uses each successively located source to form an intermediate array gain matrix, and projects both the array manifold and the signal subspace estimate into its orthogonal complement. The MUSIC projection is then performed in this reduced subspace. Using the metric of principal angles, the authors describe a general form of the RAP-MUSIC algorithm for the case of diversely polarized sources. Through a uniform linear array simulation, the authors demonstrate the improved Monte Carlo performance of RAP-MUSIC relative to MUSIC and two other sequential subspace methods, S and IES-MUSIC.

Physical Description

8 p.

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OSTI as DE98003363

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  • 31. annual Asilomar conference on signals, systems and computers, Pacific Grove, CA (United States), 2-5 Nov 1997

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  • Other: DE98003363
  • Report No.: LA-UR--97-4435
  • Report No.: CONF-9711120--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 642821
  • Archival Resource Key: ark:/67531/metadc690712

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  • March 1, 1998

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  • Aug. 14, 2015, 8:43 a.m.

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  • Oct. 3, 2017, 7:25 p.m.

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Mosher, J.C. & Leahy, R.M. Source localization using recursively applied and projected (RAP) MUSIC, article, March 1, 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc690712/: accessed October 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.