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http://dx.doi.org/10.5139/JKSAS.2011.39.9.883

Test of UAV Tracking Antenna System Using Kalman Filter Based on GPS Velocity and Acceleration  

Seo, Young-Jun (부산대학교 항공우주공학과 대학원)
Lee, Dae-Woo (부산대학교 항공우주공학과)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.39, no.9, 2011 , pp. 883-888 More about this Journal
Abstract
The UAV tracking antenna system based on GPS has a characteristic of update of position information which can occurs a position error. To reduce the position error, UAV tracking antenna system separates period of GPS update-rate and predicts the position of UAV using divided time points. These process improves the tracking performance of UAV. To predict the position of UAV by divided time points, we used a linear kalman filter based on the velocity and acceleration. Using this system, we measured velocity and acceleration according to the change of position. Finally, we can predict the change of position on divided time points.
Keywords
UAV; GPS; Kalman Filter; Tracking Antenna; WGS;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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