Welcome to Radio Lab ! (ようこそ金研!)

The radio signal processing laboratory (Radio lab) of Niigata University has been launched in Apr. 2014. The research area covers radio channel sounding, sensing and various topics of radio signal processing.

Two papers have been presented at IEICE TC-SRW. (Tokyo, Mar. 4-6)

3月SRW研(3月4~6日,東工大)にて次の論文を発表しました(発表会はCOVID-19で中止)

Shuaiqin Tang, Keiichiro Kumakura, Hideaki Momose, Minseok Kim, “Millimeter-Wave Radio Channel Sounder using Analog Beamformers,” IEICE Technical Report, SRW2019-62.
唐 率欽, 熊倉 啓一朗, 百瀬 秀亮, 金ミンソク, アナログビームフォーマを用いたミリ波チャネルサウンダ,
信学技報SRW2019-62.

Yuto Miyake, Minseok Kim, Jun-ichi Takada, “Multi-path Identification based on Environmental Imaging Technique using Millimeter-wave Radio Systems,” IEICE Technical Report, SRW2019-63.
三宅 祐人, 金 ミンソク, 高田 潤一, ミリ波帯無線通信システムを用いた環境形状イメージングによる反射経路同定法, 信学技報 SRW2019-63.

Two papers have been published in IEICE Trans. Commun.

以下の論文が電子情報通信学会論文誌(IEICE Trans. Commun.)に掲載されました.

Minseok Kim, Tatsuki Iwata, Shigenobu Sasaki, Jun-ichi Takada, “Millimeter-Wave Radio Channel Characterization using Multi-Dimensional Sub-Grid CLEAN Algorithm,” IEICE Trans. Commun.,
Vol.E103-B, No.7, Jul. 2020 (early access).

Masahiro Mitta, Minseok Kim, Yuki Ichikawa, “Implementation of Real-time Body Motion Classification using ZigBee based Wearable BAN System,” IEICE Trans. Commun., Vol.E103-B, No.6, Jun. 2020 (early access).

A paper has been presented at IEICE RISING 2019 (Tokyo Univ.).

RISING – 超知性ネットワーキングに関する分野横断型研究会(11月26~27日,東大)にて次の論文を発表しました.

Masahiro Mitta (M2), Wearable Body Motion Classification System using Low-Cost Wireless Sensor Network,
三田 雅大 (M2), 安価な無線センサーネットワークを用いたウェアラブル人体動作同定システム

Two papers have been presented at ISAP 2019. (Xi’an, China, Oct. 27-30)

International Symposium on Antennas and Propagation (ISAP 2019) (2019年10月27-30日,中国西安市)にて次の2つの論文を発表しました.

Satoru Kishimoto (M2), Development of Radio Propagation Channel Model for Millimeter-Wave Indoor Multi-Gigabit Access Links

Takeshi Tasaki (M1), Millimeter-Wave Radio Tomographic Imaging Technique using Multipath Components for Indoor Localization