{"title":"脚置IMU行人航迹推算EKF的一致性研究","authors":"Y. Bolotin, A. Bragin, Daniil Gulevskiy","doi":"10.23919/icins43215.2020.9133753","DOIUrl":null,"url":null,"abstract":"We investigate dead reckoning with foot-mounted inertial measurement unit (IMU). To improve accuracy of navigation the zero velocity update (ZUPT) technic is commonly used, aiding the IMU with information on zero foot velocity during the stance phase of a step. This information is fed to a extended Kalman-type filter. We write the ZUPT condition in two ways and show that the one most commonly used yields inconsistent results. We suggest a consistent ZUPT algorithm based on coordinate transformation in the error equations to the so-called dynamic errors. We proceed with analysis of two feet mounted IMU fusion by using the feet distance upper bound. Here we show again how inconsistency of EKF can arise and can be avoided by employing the dynamic errors. All results are based on purely analytical observability and covariance analysis under certain simplifying assumptions.","PeriodicalId":127936,"journal":{"name":"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On Consistency of EKF for Pedestrian Dead Reckoning with Foot Mounted IMU\",\"authors\":\"Y. Bolotin, A. Bragin, Daniil Gulevskiy\",\"doi\":\"10.23919/icins43215.2020.9133753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate dead reckoning with foot-mounted inertial measurement unit (IMU). To improve accuracy of navigation the zero velocity update (ZUPT) technic is commonly used, aiding the IMU with information on zero foot velocity during the stance phase of a step. This information is fed to a extended Kalman-type filter. We write the ZUPT condition in two ways and show that the one most commonly used yields inconsistent results. We suggest a consistent ZUPT algorithm based on coordinate transformation in the error equations to the so-called dynamic errors. We proceed with analysis of two feet mounted IMU fusion by using the feet distance upper bound. Here we show again how inconsistency of EKF can arise and can be avoided by employing the dynamic errors. All results are based on purely analytical observability and covariance analysis under certain simplifying assumptions.\",\"PeriodicalId\":127936,\"journal\":{\"name\":\"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/icins43215.2020.9133753\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/icins43215.2020.9133753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Consistency of EKF for Pedestrian Dead Reckoning with Foot Mounted IMU
We investigate dead reckoning with foot-mounted inertial measurement unit (IMU). To improve accuracy of navigation the zero velocity update (ZUPT) technic is commonly used, aiding the IMU with information on zero foot velocity during the stance phase of a step. This information is fed to a extended Kalman-type filter. We write the ZUPT condition in two ways and show that the one most commonly used yields inconsistent results. We suggest a consistent ZUPT algorithm based on coordinate transformation in the error equations to the so-called dynamic errors. We proceed with analysis of two feet mounted IMU fusion by using the feet distance upper bound. Here we show again how inconsistency of EKF can arise and can be avoided by employing the dynamic errors. All results are based on purely analytical observability and covariance analysis under certain simplifying assumptions.