Presentation 2019-07-11
A Study on Close DOA Estimation with Deep Learning
Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Daisuke Kitayama, Yoshihisa Kishiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Direction of arrival (DOA) estimation of radio waves is applicable to localization of users in mobile communication and radar systems. In addition to MUSIC and ESPRIT, which are well-known traditional algorithms, compressed sensing has been used for DOA estimation with the development of computing resources. Although compressed sensing requires larger computational load, it has a higher accuracy compared with MUSIC in general. If such a large computational load is acceptable, it is expected that we can obtain higher estimation accuracy by applying deep learning. In this paper, we design a network suitable to the case where two narrow-band signals with close DOAs impinge on a linear array and examine its characteristics. In addition, we consider the case where two networks trained with and without close DOAs restriction are used in parallel. Simulations show that higher estimation accuracy than MUSIC is obtained in the close DOAs situation and that the performance highly depends on the training models.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DOA estimation / array antenna / deep learning / deep neural network
Paper # RCC2019-39,NS2019-75,RCS2019-132,SR2019-51,SeMI2019-48
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI)

Conference Information
Committee SeMI / RCS / NS / SR / RCC
Conference Date 2019/7/10(3days)
Place (in Japanese) (See Japanese page)
Place (in English) I-Site Nanba(Osaka)
Topics (in Japanese) (See Japanese page)
Topics (in English) Communication and Networked Control for the Future Radio of the AI Age, etc
Chair Susumu Ishihara(Shizuoka Univ.) / Tomoaki Otsuki(Keio Univ.) / Yoshikatsu Okazaki(NTT) / Masayuki Ariyoshi(NEC) / Kazunori Hayashi(Osaka City Univ.)
Vice Chair Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Akihiro Nakao(Univ. of Tokyo) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT)
Secretary Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(NTT DOCOMO) / Satoshi Suyama(Hitachi) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) / Akihiro Nakao(Osaka Pref Univ.) / Suguru Kameda(NTT) / Osamu Takyu(ATR) / Kentaro Ishidu(Univ. of Electro-Comm.) / Shunichi Azuma(Mie Univ.) / HUAN-BANG LI(Kagawa Univ.)
Assistant Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Shinya Kumagai(Fujitsu) / Shinya Kawano(NTT) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu) / Kentaro Kobayashi(Nagoya Univ.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST)

Paper Information
Registration To Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Radio Communication Systems / Technical Committee on Network Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Close DOA Estimation with Deep Learning
Sub Title (in English)
Keyword(1) DOA estimation
Keyword(2) array antenna
Keyword(3) deep learning
Keyword(4) deep neural network
1st Author's Name Yuya Kase
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Toshihiko Nishimura
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Takeo Ohgane
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
4th Author's Name Yasutaka Ogawa
4th Author's Affiliation Hokkaido University(Hokkaido Univ.)
5th Author's Name Daisuke Kitayama
5th Author's Affiliation NTT DOCOMO, INC.(NTT DOCOMO)
6th Author's Name Yoshihisa Kishiyama
6th Author's Affiliation NTT DOCOMO, INC.(NTT DOCOMO)
Date 2019-07-11
Paper # RCC2019-39,NS2019-75,RCS2019-132,SR2019-51,SeMI2019-48
Volume (vol) vol.119
Number (no) RCC-106,NS-107,RCS-108,SR-109,SeMI-110
Page pp.pp.133-138(RCC), pp.159-164(NS), pp.155-160(RCS), pp.165-170(SR), pp.147-152(SeMI),
#Pages 6
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI)