{"title":"低可观测数据的参数估计","authors":"J. Sembiring, J. Siegel, F. Holzapfel","doi":"10.1109/ICARES.2018.8547044","DOIUrl":null,"url":null,"abstract":"This paper presents an estimation technique tailored on low information content of quick-access recorder data to produce unrecorded parameters required in an incident analysis. This paper also discusses a processing technique to increase the information content of the data. Combination of the two techniques when implemented on quick access recorder data produces a good estimate both from physical meaning and statistical properties.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parameter Estimation on Low Observability Data\",\"authors\":\"J. Sembiring, J. Siegel, F. Holzapfel\",\"doi\":\"10.1109/ICARES.2018.8547044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an estimation technique tailored on low information content of quick-access recorder data to produce unrecorded parameters required in an incident analysis. This paper also discusses a processing technique to increase the information content of the data. Combination of the two techniques when implemented on quick access recorder data produces a good estimate both from physical meaning and statistical properties.\",\"PeriodicalId\":113518,\"journal\":{\"name\":\"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"volume\":\"271 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARES.2018.8547044\",\"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 Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARES.2018.8547044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an estimation technique tailored on low information content of quick-access recorder data to produce unrecorded parameters required in an incident analysis. This paper also discusses a processing technique to increase the information content of the data. Combination of the two techniques when implemented on quick access recorder data produces a good estimate both from physical meaning and statistical properties.