{"title":"Dedicated algorithm for line of sight stabilization and orientation","authors":"L. Davain, S. Fabien, T. Erler","doi":"10.1109/INERTIALSENSORS.2015.7314271","DOIUrl":null,"url":null,"abstract":"Gyro Stabilized Platform for Optronic Systems uses inertial system for 3 mains functions: line of sight stabilization, line of sight orientation and target geo-localization. These three capabilities require different characteristics and performances from the inertial sensors: low noise sensors and low noise navigation computation. High grade sensors are not useful for these applications since precision is provided by GNSS. Intermediate grade sensor are sufficient (which benefits to product cost), but induce dedicated algorithm. This paper will illustrates how Sagem addresses these topics using FOG&VBA IMU, and dedicated algorithm in order to compensate residual sensor error. This paper will describe the typical functional architecture of an optronic platform and the main issue of such architecture. In a second part, we will describe Sagem solution for high performance system. Finally, we will show the first evaluation of stabilization, orientation and localization function.","PeriodicalId":437174,"journal":{"name":"2015 DGON Inertial Sensors and Systems Symposium (ISS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 DGON Inertial Sensors and Systems Symposium (ISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INERTIALSENSORS.2015.7314271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Gyro Stabilized Platform for Optronic Systems uses inertial system for 3 mains functions: line of sight stabilization, line of sight orientation and target geo-localization. These three capabilities require different characteristics and performances from the inertial sensors: low noise sensors and low noise navigation computation. High grade sensors are not useful for these applications since precision is provided by GNSS. Intermediate grade sensor are sufficient (which benefits to product cost), but induce dedicated algorithm. This paper will illustrates how Sagem addresses these topics using FOG&VBA IMU, and dedicated algorithm in order to compensate residual sensor error. This paper will describe the typical functional architecture of an optronic platform and the main issue of such architecture. In a second part, we will describe Sagem solution for high performance system. Finally, we will show the first evaluation of stabilization, orientation and localization function.