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Noise-Adaption Extended Kalman Filter Based on Deep Deterministic Policy Gradient for Maneuvering Targets
Jiali Li, Shengjing Tang,
Jie Guo
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Corresponding author for this work
School of Aerospace Engineering
Beijing Institute of Technology
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peer-review
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Dive into the research topics of 'Noise-Adaption Extended Kalman Filter Based on Deep Deterministic Policy Gradient for Maneuvering Targets'. Together they form a unique fingerprint.
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Engineering
Decision Process
50%
Extended Kalman Filter
100%
Illustrates
50%
Measurement Noise
100%
Obtains
50%
Process Noise
100%
Recursive Estimation
50%
Simulation Experiment
50%
Simulation Result
50%
Target Tracking
50%