IEEE - Institute of Electrical and Electronics Engineers, Inc. - Computationally Efficient Adaptive Error-State Kalman Filter for Attitude Estimation

Author(s): Michael B. Del Rosario ; Heba Khamis ; Phillip Ngo ; Nigel H. Lovell ; Stephen J. Redmond
Sponsor(s): IEEE Sensors Council
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 15 November 2018
Volume: 18
Page(s): 9,332 - 9,342
ISSN (CD): 2379-9153
ISSN (Electronic): 1558-1748
ISSN (Paper): 1530-437X
DOI: 10.1109/JSEN.2018.2864989
Regular:

A geometrically intuitive quaternion-based complementary attitude and heading reference system (CAHRS) proposed in our previous work estimated the attitude of a magnetic and inertial measurement... View More

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