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Process noise estimator based on observation sequence and its application on inertial navigation system
Xiao Xuan
, Huang Kun, Liming Yang, Liang Yuan
自动化学院
Beijing Institute of Technology
China North Optical-electrical Technology Co. Ltd.
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引用 (Scopus)
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探究 'Process noise estimator based on observation sequence and its application on inertial navigation system' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Adaptive Filter
16%
Covariance Matrix
33%
Inertial Navigation System
100%
Initial Condition
16%
Kalman Filter
66%
Model Structure
16%
Observation Noise
16%
Observation Sequence
100%
Optimality
16%
Priori Information
16%
Process Noise
100%
Simulation Result
16%
State Variable
16%
Computer Science
Adaptive Filter
25%
Application Scenario
25%
Covariance Matrix
50%
Estimation Algorithm
25%
Estimation Process
25%
Initial Condition
25%
Kalman Filter
100%
Observation Sequence
100%
Priori Information
25%
State Variable
25%
Structure Model
25%
Transform Matrix
25%