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http://dx.doi.org/10.5302/J.ICROS.2009.15.1.031

A Scalar Adaptive Filter Considering Acceleration for Navigation of UAV  

Lim, Jun-Kyu (서울대학교 기계항공공학부/항공우주신기술 연구소)
Park, Chan-Gook (서울대학교 기계항공공학부/항공우주신기술 연구소)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.1, 2009 , pp. 31-36 More about this Journal
Abstract
This paper presents a novel scalar adaptive filter, which is reformulated by additional acceleration term. The filter continuously estimates three different kinds of covariance such as the measurement noise covariance, the velocity error covariance and the acceleration error covariance. For estimating three covariances, we use the innovation method for the measurement noise covariance and the least square method for other covariances. In order to verify the proposed filter performance compared with the conventional scalar adaptive filter, we make indoor experimental environment similar to outdoor test using the ultrasonic sensors instead of GPS. Experimental results show that the proposed filter has better position accuracy than the traditional scalar adaptive filter.
Keywords
adaptive method; cycle slip; GPS; scalar filter; ultrasonic sensor;
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