Presentation 2014/1/30
Performance improvement of DOA estimation by eigenvector analysis in angular spread environment
Tomomi AOKI, Yasuhiko TANABE, Hiroki MORI,
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Abstract(in English) This paper proposes the selection scheme of DOA estimation algorithms by eigenvector analysis in angular spread environment. In angular spread environment, depending on phase and amplitude of the scattering waves, performance of MUSIC algorithm is deteriorated. MUSIC using gradient type mode vectors can improve performance above environment, however this algorithm has also the environments that performance is deteriorated. To improve performance of DOA estimation, the proposed scheme selects the better algorithm from above MUSIC algorithms based on eigenvector analysis. Performance evaluation of DOA estimation by computer simulation conforms that the proposed scheme is effective in improving performance of DOA estimation compared to that of MUSIC algorithm.
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Keyword(in English) DOA estimation / Angular spread / MUSIC / MUSIC using gradient type mode vectors / Eigenvector
Paper # A・P2013-176
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Conference Date 2014/1/30(1days)
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Registration To Antennas and Propagation (A・P)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance improvement of DOA estimation by eigenvector analysis in angular spread environment
Sub Title (in English)
Keyword(1) DOA estimation
Keyword(2) Angular spread
Keyword(3) MUSIC
Keyword(4) MUSIC using gradient type mode vectors
Keyword(5) Eigenvector
1st Author's Name Tomomi AOKI
1st Author's Affiliation Corporate Research & Development Center, Toshiba Corporation()
2nd Author's Name Yasuhiko TANABE
2nd Author's Affiliation Corporate Research & Development Center, Toshiba Corporation
3rd Author's Name Hiroki MORI
3rd Author's Affiliation Corporate Research & Development Center, Toshiba Corporation
Date 2014/1/30
Paper # A・P2013-176
Volume (vol) vol.113
Number (no) 428
Page pp.pp.-
#Pages 6
Date of Issue