Suboptimal Algorithms Identifying the Navigation Sensor Errors Described by Markov Process
https://doi.org/10.17285/0869-7035.2016.24.3.055-062
Abstract
The paper considers the algorithms identifying the parameters of Markov process correlation function based on maximum likelihood function method, least squares method, and constructing sample characteristics. The algorithms are compared with the algorithms based on Bayesian approach.
About the Authors
V. A. Tupysev
Concern CSRI Elektropribor, St.Petersburg
Russian Federation
Russian Federation
N. D. Kruglova
Concern CSRI Elektropribor, St.Petersburg
Russian Federation
Russian Federation
A. V. Motorin
Concern CSRI Elektropribor, JSC, ITMO University, St.Petersburg
Russian Federation
Russian Federation
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Review
For citations:
Tupysev V.A., Kruglova N.D., Motorin A.V. Suboptimal Algorithms Identifying the Navigation Sensor Errors Described by Markov Process. Giroskopiya i Navigatsiya. 2016;24(3):55-62. (In Russ.) https://doi.org/10.17285/0869-7035.2016.24.3.055-062
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