Presentation 2014-07-31
MUSIC Algorithm using Khatri-Rao Product Array and Compressed Sensing
Kazunori HAYASHI, Hirotaka MUKUMOTO,
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Abstract(in English) DOA (Direction-of-Arrival) estimation of incoming waves using spatially sampled signals by spatially distributed sensors is one of the fundamental and classical problems of array signal processing. However, DOA estimation is drawing much attention again due to some recent works, which can cope with far more number of sources than that of sensors, or which are related to compressed sensing. In this report, we review the fundamentals of DOA estimation including the signal modeling and MUSIC (Multiple-Signal Classification) algorithm, and introduce some recent topics, such as array signal processing with Khatri-Rao (KR) subspace and multiple measurement vector (MMV) problem in the context of compressed sensing.
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Keyword(in English) DOA estimation / MUSIC algorithm / Khatri-Rao product / quasi-stationary / compressive sensing
Paper # RCC2014-38,NS2014-58,RCS2014-110,SR2014-39,ASN2014-57
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Committee RCC
Conference Date 2014/7/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) MUSIC Algorithm using Khatri-Rao Product Array and Compressed Sensing
Sub Title (in English)
Keyword(1) DOA estimation
Keyword(2) MUSIC algorithm
Keyword(3) Khatri-Rao product
Keyword(4) quasi-stationary
Keyword(5) compressive sensing
1st Author's Name Kazunori HAYASHI
1st Author's Affiliation Graduate School of Infomatics, Kyoto University()
2nd Author's Name Hirotaka MUKUMOTO
2nd Author's Affiliation Graduate School of Infomatics, Kyoto University
Date 2014-07-31
Paper # RCC2014-38,NS2014-58,RCS2014-110,SR2014-39,ASN2014-57
Volume (vol) vol.114
Number (no) 162
Page pp.pp.-
#Pages 6
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