USRP CS

Architecture (4 nodes, 6 links, 8×8 MIMO)

Specification (8×8 MIMO)

Related Publications

  1. “Distributed MIMO prototype and measurement for ISAC use cases: Device-Free Localization (DFL) in Distributed Antenna Networks (DANs),” EuMW, Workshop WM03, Utrecht, Netherlands, Sept. 2025. Adobe Acrobat Reader
  2. Minseok Kim, Gesi Teng, Keita Nishi, “Development of a High-Accuracy Device-Free Localization Method Using Multipath Radio Propagation in Distributed Antenna Networks,” IEICE Technical Report, CQ2025-54, Sept. 2025 (in Japanese) (invited) Adobe Acrobat Reader
    金ミンソク, 騰 格斯, 西 圭太, “分散アンテナネットワークにおける多重波電波伝搬を用いた高精度デバイスフリー測位法の開発,” 信学技報, CQ2025-54, 2025年9月 (招待講演) Adobe Acrobat Reader
  3. Minseok Kim, Gesi Teng, Nishi Keita, Togo Ikegami, Masamune Sato, “Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks,”  IEEE J. Sel. Top. Electromagn. Antennas Propag. (JSTEAP), vol. 1, no. 1, pp. 290-302, Sept. 2025 invited Adobe Acrobat Reader
  4. Minseok Kim, Togo Ikegami, Masamune Sato, “Development of Versatile Multi-Link MIMO Channel Sounding Sensor Network Using Software-Defined Radios,” IEICE Technical Report, AP2024-13, May 2024. slide Adobe Acrobat Reader
    金 ミンソク・池上十五・佐藤正宗, “ソフトウェア無線機を用いた多目的マルチリンクMIMOチャネルサウンディングセンサネットワークの構築,” 信学技報, AP2024-13, 2024年5月. (in English)
  5. 池上十五・佐藤正宗・トンサヴァン クーラープ・金 ミンソク, “マルチリンク8×8MIMO測定系の構築と評価実験,” 信学技報, AP2023-156, 2023年12月. slide Adobe Acrobat Reader
    Togo Ikegami, Masamune Sato, Koularp Thongsavanh, Minseok Kim, “Multi-Link 8×8 MIMO Measurement System Construction and Evaluation Experiment,” IEICE Technical Report, AP2023-156, Dec. 14, 2023 (in Japanese).
  6. 池上十五, 金 ミンソク, “ソフトウェア無線機を用いたアンテナスイッチング方式MIMOチャネルサウンダの開発,” 信学技報, AP2023-30, 2023年7月. slide Adobe Acrobat Reader
    Togo Ikegami, Minseok Kim, “Development of an Antenna Switching MIMO Channel Sounder with Software Defined Radio,” IEICE Technical Report, AP2023-30, Jul. 2023 (in Japanese)

Manual Documents

Measurement Software

https://github.com/mskim-niigatau/ChannelSoundingUSRP