Presentation | 2014-05-30 DOA Estimation with Compressive Sensing for Khatri-Rao Product Array Hirotaka MUKUMOTO, Kazunori HAYASHI, Megumi KANEKO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose DOA (Direction-of-Arrival) estimation scheme with compressive sensing for Khatri-Rao (KR) product array. DOA estimation via KR subspace can cope with incoming waves more than the number of sensors, while it requires source signals to be quasi-stationary and needs more number of frames than that of sources. On the other hand, in noiseless cases, compressive sensing based approach can estimate DOAs with less number of snapshots than that required by conventional methods, although the number of sources must be less than that of sensors. By using KR product array and compressive sensing, the proposed method can estimate DOAs of more sources than the number of sensors with less number of frames than that of sources. The performance of the proposed method is demonstrated via numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | DOA estimation / Khatri-Rao product array / quasi-stationary / compressive sensing |
Paper # | RCC2014-11,MICT2014-11 |
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Conference Information | |
Committee | RCC |
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Conference Date | 2014/5/22(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) | DOA Estimation with Compressive Sensing for Khatri-Rao Product Array |
Sub Title (in English) | |
Keyword(1) | DOA estimation |
Keyword(2) | Khatri-Rao product array |
Keyword(3) | quasi-stationary |
Keyword(4) | compressive sensing |
1st Author's Name | Hirotaka MUKUMOTO |
1st Author's Affiliation | Graduate School of Infomatics, Kyoto University() |
2nd Author's Name | Kazunori HAYASHI |
2nd Author's Affiliation | Graduate School of Infomatics, Kyoto University |
3rd Author's Name | Megumi KANEKO |
3rd Author's Affiliation | Graduate School of Infomatics, Kyoto University |
Date | 2014-05-30 |
Paper # | RCC2014-11,MICT2014-11 |
Volume (vol) | vol.114 |
Number (no) | 60 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |