Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SR |
2019-01-24 14:55 |
Fukushima |
Corasse, Fukushima city (Fukushima prefecture) |
Accuracy Comparisons between Deep-Learning Based Angle of Arrival Estimation and MUSIC method
-- Impact to Estimation Accuracy of Antenna Element Coupling -- Toyosaka Yamasaki (NECPF), Taichi Ohtsuji (NEC) SR2018-104 |
Direction of arrival estimation techniques are used for radio localization of radio transmitters. As a representative lo... [more] |
SR2018-104 pp.49-56 |
WPT, AP (Joint) |
2019-01-18 10:50 |
Aichi |
Toyota Automobile Museum |
Performance Improvement of DOA Estimation Using Two-step Search Method Based on Compressed Sensing Toshiya Nasu, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2018-160 |
In recent years, researches for applying signal-processing techniques based on sparse reconstruction andcompressed sensi... [more] |
AP2018-160 pp.51-56 |
WPT, AP (Joint) |
2019-01-18 11:10 |
Aichi |
Toyota Automobile Museum |
Performance Improvement of Radio Holography-Based DOA Estimation with Cyclic Correlation by Using SAGE Algorithm Yuto Nakajima, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2018-161 |
In recent years, the methods which can estimate the direction-of-arrival (DOA) with a simple array system are desired, a... [more] |
AP2018-161 pp.57-62 |
ASN, SRW (Joint) |
2018-11-06 10:50 |
Tokyo |
Tokyo Denki University, Tokyo Senju Campus |
Position Estimation Method for Various Sound Source in Indoor Environment and its Basic Evaluation Takeru Kadokura, Yuusuke Kawakita, Shigenori Ioroi, Hiroshi Tanaka (Kanagawa Institute of Technology) ASN2018-73 |
The authors have been studying an indoor positioning system using a diffused sound source for realization of highly accu... [more] |
ASN2018-73 pp.109-114 |
AP, MW (Joint) |
2018-09-21 13:00 |
Tokyo |
Tokyo Tech |
[Tutorial Lecture]
Basics of array signal processing and its solution algorithms Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) AP2018-86 |
We introduce signal processing method to estimate initial value from multiple data based on linear observation which is ... [more] |
AP2018-86 pp.31-36 |
SANE |
2018-08-24 13:50 |
Tokyo |
Electric Navigation Research Institute |
Experimental Study on DOA Estimation of ADS-B Signal from Aircraft Misaki Ito, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) SANE2018-40 |
ADS-B(Automatic Dependent Surveillance-Broadcast) system is a new surveillance system for aircrafts.
This system is a s... [more] |
SANE2018-40 pp.39-44 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-11 15:25 |
Hokkaido |
Hakodate Arena |
A Fundamental Study on Direction of Arrival Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) RCC2018-33 NS2018-46 RCS2018-88 SR2018-27 ASN2018-27 |
Direction of arrival (DOA) estimation of radio waves is applicable to localization of wireless terminals and radar syste... [more] |
RCC2018-33 NS2018-46 RCS2018-88 SR2018-27 ASN2018-27 pp.51-55(RCC), pp.57-61(NS), pp.51-55(RCS), pp.39-43(SR), pp.67-71(ASN) |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
MUSIC Algorithm Based on the Temporal DRR and Generalized Rayleigh Quotient under Reverberant Environment Ryusuke Tanaka, Yoichi Haneda (UEC) EA2017-149 SIP2017-158 SP2017-132 |
Recently, direction-of-arrival (DOA) estimation methods have been investigated for many applications, owing to the devel... [more] |
EA2017-149 SIP2017-158 SP2017-132 pp.261-266 |
ASN |
2018-01-30 11:40 |
Oita |
Yufugo-kan (Oita) |
Implementation of an acoustic localization method using a wireless microphone-array network Yushi Hosokawa, Daichi Kominami (Osaka Univ.), Ikkyu Aihara (Univ of Tsukuba), Masayuki Murata (Osaka Univ.) ASN2017-87 |
There have been many researches on biomimetics focusing on excellent functions and behaviors of creatures. Our research ... [more] |
ASN2017-87 pp.23-28 |
AP, WPT (Joint) |
2018-01-19 11:10 |
Nara |
ATR |
Accuracy of Living-Body-Direction Estimation Method Using Single-RF Front-End and Variable Feed Network Katsumi Sasaki, Naoki Honma (Iwate Univ.), Takeshi Nakayama, Shoichi Iizuka (Panasonic) AP2017-166 |
In this paper, we propose estimation method of living body direction using variable feed network, where only an RSSI (Re... [more] |
AP2017-166 pp.87-92 |
AP, WPT (Joint) |
2018-01-19 11:30 |
Nara |
ATR |
Performance Improvement by Two-step Search Method in DOA Estimation Based on Sparse Reconstruction Toshiya Nasu, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2017-167 |
In recent years, researches for applying signal-processing techniques based on sparse reconstruction and compressed sens... [more] |
AP2017-167 pp.93-98 |
AP, RCS (Joint) |
2017-11-10 11:15 |
Fukuoka |
Fukuoka University |
Performance Improvement of DOA Estimation of Desired Signals Using Multiple Cyclic Correlations Yuta Kamiya, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2017-138 |
The cyclic method performs the direction-of-arrival (DOA) estimation of the desired waves by using cyclic correlations b... [more] |
AP2017-138 pp.167-172 |
AP, MW (Joint) |
2017-09-21 13:00 |
Saitama |
Saitama University |
Visualizing Propagating-Path of Multi-Path Environment Using FDTD Method and Compressive Sensing Tomohiro Komatsu, Naoki Honma (Iwate Univ.) AP2017-88 |
In this paper, we evaluate the accuracy of the propagating-path identification using Finite-Difference Time-Domain (FDTD... [more] |
AP2017-88 pp.1-6 |
AP |
2017-08-24 10:00 |
Hokkaido |
National Institute of Technology, Hakodate College |
DOA Estimation for Coprime Arrays Without Knowledge of Source Number Anh-Tuan Nguyen, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2017-69 |
Pal et al. use a coprime array to extend it to a larger virtual ULA, and after spatial smoothing technique is implemente... [more] |
AP2017-69 pp.7-12 |
SANE |
2017-08-25 14:45 |
Osaka |
OIT UMEDA Campus |
Theoretical Study on DOA Estimation Error of Moving Object by Using Alternate Transmission MIMO Radar Suguru Ohashi, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) SANE2017-42 |
The Multiple-Input Multiple-Output (MIMO) Radar can increase the number of receiving elements virtually and improve the ... [more] |
SANE2017-42 pp.77-82 |
AP, SAT, SANE (Joint) |
2017-07-28 14:15 |
Aichi |
Nagoya Institute of Technology |
An Experimental Receiver in VLF band for Lightning Observations Kohei Osa (WNI) AP2017-63 SANE2017-26 |
In order to observe spherics signals and demonstrate the methodology of wave sources location estimation with TDOA techn... [more] |
AP2017-63 SANE2017-26 pp.99-104(AP), pp.25-30(SANE) |
AP (2nd) |
2017-06-28 - 2017-06-30 |
Hokkaido |
Hokkaido University |
[Poster Presentation]
Performance of propagation-path identification using FDTD method and compressive sensing Tomohiro Komatsu, Naoki Honma (Iwate Univ.) |
We have proposed a propagating path identification method using Finite-Difference Time-Domain (FDTD) method and compress... [more] |
|
AP |
2017-05-18 13:10 |
Miyazaki |
Hotel MERIEGES |
Range and Angle Resolution Enhancement for MIMO Radar by Using Khatri-Rao Product Virtual Array Processing Junpei Konishi, Suguru Ohashi, Hiroyoshi Yamada (Niigata Univ.), Takashi Maruyama, Michiyo Hiramoto (OKI), Yoshio Yamaguchi (Niigata Univ.) AP2017-29 |
Recently, indoor location estimation of persons has been attracting attentions for man-location monitoring and home secu... [more] |
AP2017-29 pp.37-42 |
AP |
2017-03-16 09:30 |
Iwate |
Iwate Univ. |
Evaluation of Human Posture Identification Based on Height and RCS of Subject Estimated by MIMO Radar Dai Sasakawa, Naoki Honma (Iwate Univ.), Takeshi Nakayama, Shoichi Iizuka (Panasonic) AP2016-177 |
The authors have proposed the living-body localization in the indoor environment using Multiple-Input Multiple-Output (M... [more] |
AP2016-177 pp.1-4 |
SP, SIP, EA |
2017-03-01 14:25 |
Okinawa |
Okinawa Industry Support Center |
TDOA Estimation Based on Phase-Voting Cross Correlation and Circular Standard Deviation Masanori Kato, Yuzo Senda, Reishi Kondo (NEC) EA2016-110 SIP2016-165 SP2016-105 |
This paper proposes a new TDOA estimation based on phase-voting cross correlation and circular standard deviation. Based... [more] |
EA2016-110 SIP2016-165 SP2016-105 pp.159-164 |