A dynamic adaptive AHRS algorithm for UAV based on SVDCKF
Aiming at the attitude solution accuracy and robustness for small UAVs in complex flight conditions, this paper proposes a dynamic adaptive attitude and heading systems(AHRS) estimator with singular value decomposition Cubature Kalman filter(SVDCKF). Considering the problem of random bias for the lo...
Format: | Article |
---|---|
Language: | zho |
Published: |
EDP Sciences
2021-04-01
|
Series: | Xibei Gongye Daxue Xuebao |
Subjects: | |
Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2021/02/jnwpu2021392p350/jnwpu2021392p350.html |
Similar Items
-
Attitude and Heading Estimation for Indoor Positioning Based on the Adaptive Cubature Kalman Filter
by: Jijun Geng, et al.
Published: (2021-01-01) -
An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function
by: Yunzhu Lv, et al.
Published: (2024-03-01) -
A Robust Adaptive Cubature Kalman Filter Based on SVD for Dual-Antenna GNSS/MIMU Tightly Coupled Integration
by: Cheng Pan, et al.
Published: (2021-05-01) -
A Cooperative Target Localization Method Based on UAV Aerial Images
by: Minglei Du, et al.
Published: (2023-11-01) -
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements
by: Samer Sahl, et al.
Published: (2024-01-01)