Determination of instrumentation errors from measured data using maximum likelihood method-Reference-Cited by-同舟云学术

Determination of instrumentation errors from measured data using maximum likelihood method

Published:1980-08-11 Issue: Volume: Page:
ISSN:
Container-title:6th Atmospheric Flight Mechanics Conference
language:
Short-container-title:

Author:

KESKAR D.¹,KLEIN V.²

Affiliation:

1. SDC Integrated Services, Inc., Hampton, Va.

2. NASA, Langley Research Center, Hampton, Va.

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.1980-1602

Reference15 articles.

1. AIAA .L I* ,\ResearchProfessor, Member,AIAAThis research was conducted at the NASA Langley Research Center under the support of NASA Res. Coop. Agreement NCC1-29.

2. Astronautics,Inc., 1980.All rightsreserved. theoretical studies of convergence properties of an extended Kalman filter indicate that that filter i s not very suitable for parameter estimation (ref.4), especially in cases where the a priori values of parameters are not available and the noise statistics are not known. For that reason two approaches separating the state and parameter estimation were recommended, i.e., References

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