Presentation 2021-07-16
Considerations on Accuracy Improvement in Close DOA Estimation with Deep Learning
Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato, Yoshihisa Kishiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In addition to subspace methods such as MUSIC and ESPRIT, recently, compressed sensing and deep learning have been appliedto direction of arrival (DOA) estimation of radio waves using various types of array antennaswith the progress of computing power. The compressed sensing and deep learning are on-grid estimation in general, and thus a discrete spectrum is obtained. In our previous studies on DOA estimation using deep learning, we proposed a method of combining two DNNs, of which grids are staggered, in order to reduce the estimation error occurring when a signal arrives at angles near the grid border. In this paper, we evaluate the estimation accuracy when our proposed method is applied to a close DOA scenario. In addition, we consider the case where the networks trained with and without close DOAs restriction are used in parallel. The simulation results show thatthe RMSE of staggered DNNs is improved by combining a network trained with close DOAs restriction, although it alone is not suitable for the close DOA case.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DOA estimation / array antenna / deep learning / deep neural network
Paper # RCC2021-39,NS2021-55,RCS2021-97,SR2021-39,SeMI2021-28
Date of Issue 2021-07-07 (RCC, NS, RCS, SR, SeMI)

Conference Information
Committee RCS / SR / NS / SeMI / RCC
Conference Date 2021/7/14(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Communication and Network Technology of the AI Age, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc
Chair Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Akihiro Nakao(Univ. of Tokyo) / Koji Yamamoto(Kyoto Univ.) / HUAN-BANG LI(NICT)
Vice Chair Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Tetsuya Oishi(NTT) / Kazuya Monden(Hitachi) / Yasunori Owada(NICT) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.)
Secretary Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Tetsuya Oishi(Chuo Univ.) / Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) / Shunichi Azuma(Osaka Univ.) / Koji Ishii(CRIEPI)
Assistant Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Kotaro Mihara(NTT) / Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Network Systems / Technical Committee on Sensor Network and Mobile Intelligence / 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) Considerations on Accuracy Improvement in 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 Takanori Sato
5th Author's Affiliation Hokkaido University(Hokkaido Univ.)
6th Author's Name Yoshihisa Kishiyama
6th Author's Affiliation NTT DOCOMO, INC(NTT DOCOMO)
Date 2021-07-16
Paper # RCC2021-39,NS2021-55,RCS2021-97,SR2021-39,SeMI2021-28
Volume (vol) vol.121
Number (no) RCC-101,NS-102,RCS-103,SR-104,SeMI-105
Page pp.pp.77-82(RCC), pp.118-123(NS), pp.98-103(RCS), pp.100-105(SR), pp.76-81(SeMI),
#Pages 6
Date of Issue 2021-07-07 (RCC, NS, RCS, SR, SeMI)