A Study on Estimating Car Drag Parameter With Using GPS Solutions

Ching-Shun Ho

Abstract:	This paper describes an approach in applying Global Positioning System (GPS) technique to estimate drag parameters. The adopted approach consists of two parts: 1) the estimation of car position with using the least-squares (LS) method and Differential GPS (DGPS) data; and 2) the estimation of drag parameters by processing car 3-D LS position esitmates with using the Extended Kalman filter (EKF). Two experiments of ground vehicle testing has been conducted. Two Ashtech Z-12 receivers have been used in collecting GPS pseudo-range data. The results show the adopted approach is appropriate. The applied models are suitable in obtaining the mechanical drag parameter with an average of 0.148 and the aerodynamic drag parameter averaging in 0.000334. The estimated parameter values show a noise-corrupted behavior when bad LS solutions encountered. The noisy situation is caused by the change in satellite constellation.
Published in:	Proceedings of the 1997 National Technical Meeting of The Institute of Navigation January 14 - 16, 1997 Loews Santa Monica Hotel Santa Monica, CA
Pages:	531 - 535
Cite this article:	Ho, Ching-Shun, "A Study on Estimating Car Drag Parameter With Using GPS Solutions," Proceedings of the 1997 National Technical Meeting of The Institute of Navigation, Santa Monica, CA, January 1997, pp. 531-535.
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