F. Maspero, V. F. López-Rey, L. Joet, S. Hentz, G. Langfelder
{"title":"MEMS加速度计中偏移漂移特性的电子学与算法开发","authors":"F. Maspero, V. F. López-Rey, L. Joet, S. Hentz, G. Langfelder","doi":"10.1109/ISISS.2018.8358139","DOIUrl":null,"url":null,"abstract":"The work discusses methods for the characterization of the sensor-related offset drift component in MEMS capacitive accelerometers. It is shown how, even with discrete electronics, it is not trivial to isolate this contribution from electronic-related components, due to unavoidable electronics tolerances and drift. A method that involves the use of multiple (at least two), nominally identical boards, pre-characterized in terms of temperature drift, is shown to be effective in identifying sensor-related drift components with an accuracy as low as sub-50 μg/K. At the same time, the developed board reaches high-resolution performance, in order to clearly highlight the Brownian noise limit (40 μg/√Hz) in the tested consumer-grade accelerometers.","PeriodicalId":237642,"journal":{"name":"2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Combined electronics and algorithm development for offset drift characterization in MEMS accelerometers\",\"authors\":\"F. Maspero, V. F. López-Rey, L. Joet, S. Hentz, G. Langfelder\",\"doi\":\"10.1109/ISISS.2018.8358139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work discusses methods for the characterization of the sensor-related offset drift component in MEMS capacitive accelerometers. It is shown how, even with discrete electronics, it is not trivial to isolate this contribution from electronic-related components, due to unavoidable electronics tolerances and drift. A method that involves the use of multiple (at least two), nominally identical boards, pre-characterized in terms of temperature drift, is shown to be effective in identifying sensor-related drift components with an accuracy as low as sub-50 μg/K. At the same time, the developed board reaches high-resolution performance, in order to clearly highlight the Brownian noise limit (40 μg/√Hz) in the tested consumer-grade accelerometers.\",\"PeriodicalId\":237642,\"journal\":{\"name\":\"2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISISS.2018.8358139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISISS.2018.8358139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combined electronics and algorithm development for offset drift characterization in MEMS accelerometers
The work discusses methods for the characterization of the sensor-related offset drift component in MEMS capacitive accelerometers. It is shown how, even with discrete electronics, it is not trivial to isolate this contribution from electronic-related components, due to unavoidable electronics tolerances and drift. A method that involves the use of multiple (at least two), nominally identical boards, pre-characterized in terms of temperature drift, is shown to be effective in identifying sensor-related drift components with an accuracy as low as sub-50 μg/K. At the same time, the developed board reaches high-resolution performance, in order to clearly highlight the Brownian noise limit (40 μg/√Hz) in the tested consumer-grade accelerometers.