{"title":"摘要:利用冗余惯性测量单元中陀螺传感器数据融合提高飞机姿态估计精度","authors":"T. Grigorie, R. Botez","doi":"10.1109/IPSN.2014.6846773","DOIUrl":null,"url":null,"abstract":"The paper presents a redundant strap-down attitude system which uses three miniaturized gyro sensors linear clusters in the inertial detection unit. The data from the sensors in each of the three clusters are fused by using a statistical method based on the minimum variance method, in order to improve the useful angular speed signal measured by the detection unit.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster abstract: Precision improvement of aircrafts attitude estimation through gyro sensors data fusion in a redundant inertial measurement unit\",\"authors\":\"T. Grigorie, R. Botez\",\"doi\":\"10.1109/IPSN.2014.6846773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a redundant strap-down attitude system which uses three miniaturized gyro sensors linear clusters in the inertial detection unit. The data from the sensors in each of the three clusters are fused by using a statistical method based on the minimum variance method, in order to improve the useful angular speed signal measured by the detection unit.\",\"PeriodicalId\":297218,\"journal\":{\"name\":\"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPSN.2014.6846773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPSN.2014.6846773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster abstract: Precision improvement of aircrafts attitude estimation through gyro sensors data fusion in a redundant inertial measurement unit
The paper presents a redundant strap-down attitude system which uses three miniaturized gyro sensors linear clusters in the inertial detection unit. The data from the sensors in each of the three clusters are fused by using a statistical method based on the minimum variance method, in order to improve the useful angular speed signal measured by the detection unit.