Parameter Estimation on Low Observability Data

被引：0

作者：

Sembiring, Javensius ^{[1
]}

Siegel, Joachim ^{[1
]}

Holzapfel, Florian ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Flight Syst Dynam, Munich, Germany

来源：

PROCEEDINGSS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE ELECTRONICS AND REMOTE SENSING TECHNOLOGY (ICARES 2018) | 2018年

关键词：

quick access recorder data; estimation; maximum likelihood; kalman filter; filter error method; low observability;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页数：7