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Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking Cover

Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking

International Journal of Advanced Network, Monitoring and Controls
Volume 3 (2018): Issue 2 (January 2018)
By: Mu Jing and  Wang Changyuan  
Open Access
|May 2018

Figures & Tables

Figure 1.

RMSE in Position
RMSE in Position

Figure 2.

RMSE in Velocity
RMSE in Velocity

Figure 3.

RMSE in Drag Coefficient
RMSE in Drag Coefficient

Figure 4.

RMSE in Turn Coefficient
RMSE in Turn Coefficient

Figure 5.

RMSE in Climbing Coefficient
RMSE in Climbing Coefficient

TABLE I.

ARMSES IN THREE FILTERS
ARMSES IN THREE FILTERS
DOI: https://doi.org/10.21307/ijanmc-2018-027 | Journal eISSN: 2470-8038
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Language: English
Page range: 10 - 13
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Nonlinear Filtering,
Square Root Cubature Kalman Filter,
Levenberg-Marquardt Method,
Maneuvering Reentry Targets Tracking
Related subjects:
Computer sciences,
Computer sciences, other

© 2018 Mu Jing, Wang Changyuan, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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