Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment
Abstract The measurement noise covariance R plays a vital role in the Kalman filter (KF) algorithm. Traditionally, a constant R is obtained by experience or experiments. However, the KF cannot achieve optimal estimation using constant R under non‐Gaussian conditions. A robust strategy for adaptive e...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Wiley
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/43fefd99c1724a938b29120ec1298989 |
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