The Application of Improved Adaptive Kalman Filter in GPS Kinematic Positioning

Xian Min Ma; Ya Ru Chen

doi:10.4028/www.scientific.net/AMR.756-759.3204

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Application of Improved Adaptive Kalman Filter...

The Application of Improved Adaptive Kalman Filter in GPS Kinematic Positioning

Abstract:

Model is inaccuracy sometimes when state of motion mutation, which will cause lower precision of GPS kinematic positioning. To solve this problem, an improved adaptive Kalman filter algorithm is built. In filter calculation, exponent fading factor is presented to modify prior covariance matrix, the filters stability is guaranteed and its precision is improved by adjusting the fading factor. Whats more, restriction of the experiential reserve coefficient is broken. In order to improve the kinematic performance of the Kalman filter, adaptive weighted factor and adaptive adjustment factor are introduced. The results show that, compared with adaptive Kalman filter algorithm, this algorithm has a better robustness and the kinematic performance has been improved significantly.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3204-3208

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3204

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Online since:

September 2013

Authors:

Xian Min Ma, Ya Ru Chen

Keywords:

Adaptive Adjustment Factor, Adaptive Kalman Filter, Adaptive Weighted Factor, Exponent Fading Factor, GPS Kinematic Positioning

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