{"title":"Experimental Validation1","authors":"S. Changey, E. Pecheur, Thomas Brunner","doi":"10.1109/PLANS.2014.6851488","DOIUrl":null,"url":null,"abstract":"A priori information given by the complete modeling of the ballistic behavior (trajectory, attitude) of a projectile is simplified to give a pertinent reduced evolution model. An Extended Kalman Filter (EKF) is designed to estimate three attitude angles from measurements of the magnetic field of the earth given by a three axis magnetometer sensor embedded on the projectile, completed with a three axis accelerometer. The algorithm has been tested on real data recorded during a free flight test over a distance of 400 meters. The results show that we can estimate milliradians with non-linear equations and approximations, with good accuracy.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.2014.6851488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
A priori information given by the complete modeling of the ballistic behavior (trajectory, attitude) of a projectile is simplified to give a pertinent reduced evolution model. An Extended Kalman Filter (EKF) is designed to estimate three attitude angles from measurements of the magnetic field of the earth given by a three axis magnetometer sensor embedded on the projectile, completed with a three axis accelerometer. The algorithm has been tested on real data recorded during a free flight test over a distance of 400 meters. The results show that we can estimate milliradians with non-linear equations and approximations, with good accuracy.