A fast tracking method for magnetic abnormalities using distributed Overhauser magnetometer system based on genetic algorithm

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Abstract
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. 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.
Funding Information
  • The Foundation of National Key Research and Development Program of China (2018YFC1503702)
  • the Foundation of Wuhan Science and Technology Bureau (2019010701011411)
  • The National Science Foundation of Hubei Province of China (2020CFB610)
  • The National Natural Science Foundation of China (41904164, 41874212)
  • The Foundation of Science and Technology on Near-Surface Detection Laboratory (6142414180913, TCGZ2017A001, 614241409041217)
  • the Fundamental Research Funds for the Central Universities, China University of Geosciences (CUG190628)
  • the program of China Scholarships Council (202006410026)

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