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

doi:10.1145/3131542.3140273

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

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on the Internet of Things, IoT 2017
Publisher	Association for Computing Machinery
Volume	Part F132741
ISBN (Electronic)	9781450353182
DOIs	https://doi.org/10.1145/3131542.3140273
Publication status	Published - 2017 Oct 22
Event	7th International Conference on the Internet of Things, IoT 2017 - Linz, Austria Duration: 2017 Oct 22 → 2017 Oct 25

Other

Other	7th International Conference on the Internet of Things, IoT 2017
Country/Territory	Austria
City	Linz
Period	17/10/22 → 17/10/25

Keywords

Multi-subcarreier multiple access
Multiple access
RFID
SDR
Structural health monitoring

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3131542.3140273

Cite this

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. In Proceedings of the 7th International Conference on the Internet of Things, IoT 2017 (Vol. Part F132741). Association for Computing Machinery. https://doi.org/10.1145/3131542.3140273

SDR processing delay estimation applying correlation detection for Structure Health Monitoring using Multi-subcarrier Multiple Access. / Fujiwara, Tatsuki; Nakano, Yohei; Mitsugi, Jin et al.
Proceedings of the 7th International Conference on the Internet of Things, IoT 2017. Vol. Part F132741 Association for Computing Machinery, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. in Proceedings of the 7th International Conference on the Internet of Things, IoT 2017. vol. Part F132741, Association for Computing Machinery, 7th International Conference on the Internet of Things, IoT 2017, Linz, Austria, 17/10/22. https://doi.org/10.1145/3131542.3140273

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abstract = "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.",

keywords = "Multi-subcarreier multiple access, Multiple access, RFID, SDR, Structural health monitoring",

author = "Tatsuki Fujiwara and Yohei Nakano and Jin Mitsugi and Yuusuke Kawakita and Haruhisa Ichikawa",

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AU - Ichikawa, Haruhisa

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Y1 - 2017/10/22

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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