{"title":"利用霍尔效应传感器测量时空磁场并提供后处理解决方案","authors":"Vladimir Kravljaca, S. Lyshevski","doi":"10.1109/ELNANO.2017.7939716","DOIUrl":null,"url":null,"abstract":"Solid state magnetic field sensors are examined. The use of III-V semiconductors in Hall effect sensors results in high bandwidth, fast response time, adequate spatiotemporal resolution, accuracy and sufficient measurement range. Despite significant advantages, there are drawbacks, such as noise, errors, nonlinearity, sensitivity, low thermal stability, etc. Noise attenuation and error reduction problems are researched. High-fidelity data analysis and filtering are accomplished using robust signal processing schemes. The results are experimentally substantiated enabling overall functionality, performance and capabilities. The statistical models of noise are examined to solve data processing and data acquisition problems. The experimentally substantiated descriptive statistics empowers data-intensive analysis, data-driven design and optimization.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring spatiotemporal magnetic fields by hall effect sensors with post-processing solutions\",\"authors\":\"Vladimir Kravljaca, S. Lyshevski\",\"doi\":\"10.1109/ELNANO.2017.7939716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Solid state magnetic field sensors are examined. The use of III-V semiconductors in Hall effect sensors results in high bandwidth, fast response time, adequate spatiotemporal resolution, accuracy and sufficient measurement range. Despite significant advantages, there are drawbacks, such as noise, errors, nonlinearity, sensitivity, low thermal stability, etc. Noise attenuation and error reduction problems are researched. High-fidelity data analysis and filtering are accomplished using robust signal processing schemes. The results are experimentally substantiated enabling overall functionality, performance and capabilities. The statistical models of noise are examined to solve data processing and data acquisition problems. The experimentally substantiated descriptive statistics empowers data-intensive analysis, data-driven design and optimization.\",\"PeriodicalId\":333746,\"journal\":{\"name\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELNANO.2017.7939716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2017.7939716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring spatiotemporal magnetic fields by hall effect sensors with post-processing solutions
Solid state magnetic field sensors are examined. The use of III-V semiconductors in Hall effect sensors results in high bandwidth, fast response time, adequate spatiotemporal resolution, accuracy and sufficient measurement range. Despite significant advantages, there are drawbacks, such as noise, errors, nonlinearity, sensitivity, low thermal stability, etc. Noise attenuation and error reduction problems are researched. High-fidelity data analysis and filtering are accomplished using robust signal processing schemes. The results are experimentally substantiated enabling overall functionality, performance and capabilities. The statistical models of noise are examined to solve data processing and data acquisition problems. The experimentally substantiated descriptive statistics empowers data-intensive analysis, data-driven design and optimization.