Ke Liu;Hongsong Miao;Qiang Fu;Yuqi Pang;Yangyi Sui
{"title":"Error Characteristic Analysis and Error Source Identification of Aeromagnetic Field Gradient Tensor Measurements","authors":"Ke Liu;Hongsong Miao;Qiang Fu;Yuqi Pang;Yangyi Sui","doi":"10.1109/LMAG.2023.3290534","DOIUrl":null,"url":null,"abstract":"Aeromagnetic gradient tensor measurement has become a powerful method in geological surveys, mineral resource exploration, and other applications due to its ability to resist temporal changes of the geomagnetic field and its ability to provide rich information and be highly efficient. Various factors may affect the quality of aeromagnetic gradient tensor measurements, including systematic errors of the measurement system, magnetic interference from the carrying platform, and unexpected environmental impacts. But there are no methods for analyzing and identifying them at present. Therefore, we model an error source identification method based on a transforming deviation matrix, which is constructed according to the generalized Hilbert transform relations among the tensor components and reflects the error characteristics of the measurements. Our method provides a basis for guiding data processing and reducing waste of financial, material, and human resources through timely adjustments of experimental schemes. The correctness and engineering practicality of the method have been verified by simulation and field experiments.","PeriodicalId":13040,"journal":{"name":"IEEE Magnetics Letters","volume":"14 ","pages":"1-5"},"PeriodicalIF":1.1000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Magnetics Letters","FirstCategoryId":"101","ListUrlMain":"https://ieeexplore.ieee.org/document/10167734/","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Aeromagnetic gradient tensor measurement has become a powerful method in geological surveys, mineral resource exploration, and other applications due to its ability to resist temporal changes of the geomagnetic field and its ability to provide rich information and be highly efficient. Various factors may affect the quality of aeromagnetic gradient tensor measurements, including systematic errors of the measurement system, magnetic interference from the carrying platform, and unexpected environmental impacts. But there are no methods for analyzing and identifying them at present. Therefore, we model an error source identification method based on a transforming deviation matrix, which is constructed according to the generalized Hilbert transform relations among the tensor components and reflects the error characteristics of the measurements. Our method provides a basis for guiding data processing and reducing waste of financial, material, and human resources through timely adjustments of experimental schemes. The correctness and engineering practicality of the method have been verified by simulation and field experiments.
期刊介绍:
IEEE Magnetics Letters is a peer-reviewed, archival journal covering the physics and engineering of magnetism, magnetic materials, applied magnetics, design and application of magnetic devices, bio-magnetics, magneto-electronics, and spin electronics. IEEE Magnetics Letters publishes short, scholarly articles of substantial current interest.
IEEE Magnetics Letters is a hybrid Open Access (OA) journal. For a fee, authors have the option making their articles freely available to all, including non-subscribers. OA articles are identified as Open Access.