SDR processing delay estimation applying correlation detection for Structure Health Monitoring using Multi-subcarrier Multiple Access

Tatsuki Fujiwara, Yohei Nakano, Jin Mitsugi, Yuusuke Kawakita, Haruhisa Ichikawa

研究成果: Conference contribution

抜粋

Wireless and battery-less structural health monitoring (SHM) that detect structural damage at low cost are required. To achieve this, the use of multi-subcarrier multiple access (MSMA) communication method is being considered. In MSMA, time synchronization of sensing data is shifted owing to software defined radio (SDR) processing. Therefore, when an SHM monitoring method requiring time synchronization of sensing data is used, time synchronization taking SDR processing delay into account is necessary. In this study, we propose a system that estimates SDR processing delay by correlation detection and acquires time synchronization of sensing data. We measured SDR delay estimation with time accuracy by installing this system on an experimental object. Results showed that the error of the allowable processing delay estimation was different, and time synchronization can be achieved by performing sensing once by the SDR processing delay estimation method using correlation detection.

元の言語English
ホスト出版物のタイトルProceedings of the 7th International Conference on the Internet of Things, IoT 2017
出版者Association for Computing Machinery
Part F132741
ISBN(電子版)9781450353182
DOI
出版物ステータスPublished - 2017 10 22
イベント7th International Conference on the Internet of Things, IoT 2017 - Linz, Austria
継続期間: 2017 10 222017 10 25

Other

Other7th International Conference on the Internet of Things, IoT 2017
Austria
Linz
期間17/10/2217/10/25

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • これを引用

    Fujiwara, T., Nakano, Y., Mitsugi, J., Kawakita, Y., & Ichikawa, H. (2017). SDR processing delay estimation applying correlation detection for Structure Health Monitoring using Multi-subcarrier Multiple Access. : Proceedings of the 7th International Conference on the Internet of Things, IoT 2017 (巻 Part F132741). Association for Computing Machinery. https://doi.org/10.1145/3131542.3140273