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Proceedings Paper

Estimation methods for GPS kinematic data processing
Author(s): Gang Chen; Xiong Pan
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Paper Abstract

The characteristics of three GPS kinematical data processing models, Least Square, Kalman filtering, and Semiparametric model are discussed and their advantages and disadvantages are compared. With observational data and pertinent data processing software, the applicable condition, context and effect of the three models are experimented. Results show that when the mobile platform is in uniform motion, the accuracy of the three models are almost equal; when the mobile platform is in stochastic acceleration, the accuracy of Semiparametric model is superior to that of LS, and that of Kalman filtering is the worst.

Paper Details

Date Published: 11 July 2009
PDF: 5 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910V (11 July 2009); doi: 10.1117/12.836652
Show Author Affiliations
Gang Chen, China Univ. of Geosciences (China)
Xiong Pan, China Univ. of Geosciences (China)


Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering

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