2014
DOI: 10.1109/tie.2013.2253063
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A Real-Time Adaptive High-Gain EKF, Applied to a Quadcopter Inertial Navigation System

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Cited by 120 publications
(57 citation statements)
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“…In this work we implemented the so-called extended Kalman filter (EKF for short) (see e.g. [6,42,38]) which is well-known for its robustness w.r.t. the noise.…”
Section: Description Of the Algorithmmentioning
confidence: 99%
“…In this work we implemented the so-called extended Kalman filter (EKF for short) (see e.g. [6,42,38]) which is well-known for its robustness w.r.t. the noise.…”
Section: Description Of the Algorithmmentioning
confidence: 99%
“…Nowadays, the different attitude estimation algorithms have been developed, which are employed to Micro IMUs and integrated with magnetic sensors, Global navigation satellite system (GNSS) receiver, and other sensors [1][2][3][4][10][11][12][13][14][15][16][17]. Among them, representative researches like multiinformation fusion technique utilize the different MEMS sensor [10][11][12], different Kalman filtering methods for attitude estimation [3,[13][14][15], and methodology combining data fusion with filtering strategies [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…Among them, representative researches like multiinformation fusion technique utilize the different MEMS sensor [10][11][12], different Kalman filtering methods for attitude estimation [3,[13][14][15], and methodology combining data fusion with filtering strategies [16,17]. Utilizing barometer and low cost IMU, the data fusion method via the complementary filter is proposed to fuse altitude data for unmanned aerial vehicle (UAV) system [10].…”
Section: Introductionmentioning
confidence: 99%
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