フクシマ エドワルド フミヒコ
福島 E.文彦 所属 工学部 機械工学科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2023/06 |
形態種別 | 学術論文 |
査読 | 査読あり |
標題 | A fast tracking method for magnetic abnormalities using distributed Overhauser magnetometer system based on genetic algorithm |
執筆形態 | 共著 |
掲載誌名 | Review of Scientific Instruments |
掲載区分 | 国外 |
出版社・発行元 | AIP Publishing |
巻・号・頁 | 94(6),pp.1-10 |
総ページ数 | 10 |
著者・共著者 | Wang Luo, Jian Ge, Huan Liu. Shuang Wu, Hongpeng Wang, Zhiwen Yuan, Xinqun Luan, Haobin Dong, Edwardo F. Fukushima |
概要 | Magnetic anomaly detection technologies have been widely used for tracking moving targets. In this paper, we present
a fast-tracking method for magnetic abnormalities using a distributed Overhauser magnetometer system based on the genetic algorithm. Our proposed framework of the Overhauser magnetometer system employs multiple sensors to eliminate background interference, and the genetic algorithm efficiently solves magnetic anomaly data without requiring the derivation of the objective function. Test platforms were built to evaluate the distributed Overhauser magnetometer system and the genetic algorithm. Results from the natural outdoor magnetism laboratories showed that the noise of our presented magnetometers was below 0.134 nT. And the optimal factors for solution precision and effectiveness in the genetic algorithm were obtained from the simulation. Moreover, the outdoor tracking experiments indicated that the proposed method could accurately and quickly detect the moving ferromagnetic object within 6:9% maximum positioning error in 0.55 m, and the tracking precision of the object velocity can get 5:88% maximum error in 4.33 km/h. |
外部リンクURL | https://doi.org/10.1063/5.0124517 |