Presentation | 2014-07-31 MUSIC Algorithm using Khatri-Rao Product Array and Compressed Sensing Kazunori HAYASHI, Hirotaka MUKUMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | RCC |
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Conference Date | 2014/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Reliable Communication and Control (RCC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
Date of Issue |