Presentation 2014-11-20
DOA Estimation with Khatri-Rao Product Array Processing for Cyclostationary Signals
Hirotaka MUKUMOTO, Kazunori HAYASHI, Megumi KANEKO,
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Abstract(in English) In this report, we consider a DOA (Direction-of-Arrival) estimation method with Khatri-Rao (KR) product array processing for cyclostationary signals. DOA estimation using Khatri-Rao (KR) product array processing and MUSIC (MUltiple SIgnal Classification) algorithm can cope with a higher number of incoming plane waves than of sensors, while it requires the signals to be quasi-stationary. Exploiting the fact that KR product array processing can be applied to cyclostationary signals, we consider a DOA estimation method using KR product array processing and oversampling, which can cope with a greater number of incoming waves than of sensors. The validity of the proposed method is shown via numerical experiments.
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Keyword(in English) DOA estimation / Khatri-Rao product array processing / cyclostationary / compressed sensing
Paper # RCC2014-59
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Committee RCC
Conference Date 2014/11/13(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 Khatri-Rao Product Array Processing for Cyclostationary Signals
Sub Title (in English)
Keyword(1) DOA estimation
Keyword(2) Khatri-Rao product array processing
Keyword(3) cyclostationary
Keyword(4) compressed 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 2014-11-20
Paper # RCC2014-59
Volume (vol) vol.114
Number (no) 317
Page pp.pp.-
#Pages 6
Date of Issue