Improvement of Adaptability to RSSI-based Positioning System using Scaling Circle Method

Qizheng Yang, Hayato Fukunaga, Tong Li, Shigeyuki Tateno

研究成果: Conference contribution

抄録

In recent years, positioning systems are widely used in many parts of daily life, such as travel, field exploration, mountain rescue and so on. There are two main outdoor positioning technologies, namely a global positioning system (GPS) and a received signal strength indicator (RSSI). Since the GPS, which is depending on a good satellite signal environment, is generally used in the outside where has little building and trees, the RSSI has gradually become popular in recent years for mountain rescue. The advantage of RSSI is that all systems based on wireless communication can use the RSSI-based positioning methods as long as these systems can measure the RSSI. These positioning methods all estimate the coordination of the positioning target by converting the RSSI into distance and combining the distance with the position of the signal receiver. However, the noise of the surrounding environment will cause errors in the RSSI and affect the positioning results. Therefore, a pre-processing method to reduce the influence of noise to a certain extent is considered necessary. In this paper, a method for raw RSSI data pre-processing is proposed. The effeteness of the method is confirmed through a simulation and several experiments.

本文言語English
ホスト出版物のタイトル2022 61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ264-269
ページ数6
ISBN(電子版)9784907764784
DOI
出版ステータスPublished - 2022
イベント61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022 - Kumamoto, Japan
継続期間: 2022 9月 62022 9月 9

出版物シリーズ

名前2022 61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022

Conference

Conference61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022
国/地域Japan
CityKumamoto
Period22/9/622/9/9

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 制御と最適化
  • 器械工学

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