GPS/DR navigation data fusion method based on Kalman filter

YU De-xin; YANG Zhao-sheng; LIU Xue-jie

Volume 6 Issue 2

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YU De-xin, YANG Zhao-sheng, LIU Xue-jie. GPS/DR navigation data fusion method based on Kalman filter[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 65-69.

Citation:

YU De-xin, YANG Zhao-sheng, LIU Xue-jie. GPS/DR navigation data fusion method based on Kalman filter[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 65-69.

YU De-xin, YANG Zhao-sheng, LIU Xue-jie. GPS/DR navigation data fusion method based on Kalman filter[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 65-69.

Citation:

YU De-xin, YANG Zhao-sheng, LIU Xue-jie. GPS/DR navigation data fusion method based on Kalman filter[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 65-69.

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GPS/DR navigation data fusion method based on Kalman filter

School of Transportation, Jilin University, Changchun 130025, Jilin, China

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Author Bio:
Yu De-xin(1972-), male, doctoral student, 86-431-5094337, yudx@jlu.edu.cn

Yang Zhao-sheng(1938-), male, professor, 86-431-5094337, yangzs@jlu.edu.cn
Received Date: 2005-11-09
Publish Date: 2006-06-25

Abstract

Abstract

To realize the data fusion of integrated navigation system and improve the precision and reliability of GPS/DR, the characteristics of traditional methods tracking vehicle based on GPS and DR were analyzed, the advantages of GPS and DR were studied, an adaptive joint Kalman filter based on Kalman filtering technology was set up, its computer simulation system was designed by using Matlab software. The software realization problems of serial port communication in the integrated technology for GPS/DR were discussed, the navigation positioning errors of GPS, DR and integrated GPS/DR were computed. Computation result shows that the integrated GPS/DR navigation can actualize real-time, credible and exact vehicle positioning, its positioning error is minimum, it can decrease or eliminate the reckoning positioning system error accumulated with time.
- ITS,
- vehicle positioning technology,
- integrated GPS/DR navigation,
- Kalman filter

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References(8)

References

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