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 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.
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Keyword(in English) DOA estimation / Khatri-Rao product array / quasi-stationary / compressive sensing
Paper # RCC2014-11,MICT2014-11
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Committee RCC
Conference Date 2014/5/22(1days)
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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
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