Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alexei V. Loparev"'
Publikováno v:
Journal of the Franklin Institute. 356:5573-5591
A filtering algorithm is presented for discrete-time linear stochastic systems with polynomial measurements. The techniques to evaluate its efficiency are proposed. The algorithm performance is demonstrated by solving two navigation data processing p
Publikováno v:
IFAC-PapersOnLine. 51:619-623
A polynomial filtering algorithm is proposed to solve a sea vehicle navigation problem using information on the range and radial velocity with respect to a fixed beacon, formulated in the context of the Bayesian approach. An example of practical impl
Publikováno v:
Automation and Remote Control. 75:1090-1108
The relation between the time-varying optimal algorithms of Kalman filtering and the time-invariant algorithms obtained within the framework of the frequency approach using the approximate method of local approximation of spectral densities was revea
Publikováno v:
Gyroscopy and Navigation. 5:40-43
The application of the method of local approximations of power spectral densities to robust filtering problems with bounded variances of signal derivatives is considered. The algorithm design is based on the assumption that the signal is formed as n-
Publikováno v:
CDC
The method of local approximation (MLA) of power spectral densities, which is widely used for solving Wiener filtering problems in navigation data processing, is considered. The relationship between a class of problems and the corresponding time-inva
Publikováno v:
CCA/ISIC
A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived f