Optimization of Gradient Descent Parameters in Attitude Estimation Algorithms

Optimization of Gradient Descent Parameters in Attitude Estimation Algorithms

Attitude estimation methods provide modern consumer, industrial, and space systems with an estimate of a body orientation based on noisy sensor measurements. The gradient descent algorithm is one of the most recent methods for optimal attitude estimation, whose iterative nature demands adequate adju...

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Bibliographic Details
Main Authors:	Karla Sever, Leonardo Max Golušin, Josip Lončar
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Sensors
Subjects:	attitude estimation rotational quaternion Euler angles gradient descent algorithm complementary filter optimization
Online Access:	https://www.mdpi.com/1424-8220/23/4/2298

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