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- Title
GPS attitude measurement with baseline constrained optimization algorithm for unpiloted car.
- Authors
Yang, Xiaolong; Lu, Shuai; Zhou, Mu; Tian, Zengshan; Tan, Weiqiang
- Abstract
Unpiloted technology requires attitude measurement from global positioning system to adjust the moving direction of car. However, the measurement result from the satellites suffer from fluctuation, which reduces the control ability of system. Thus, we propose our novel algorithm. First, it builds double difference observation equation based the measurements from two satellites. Second, the least squares algorithm is utilized to calculate double difference integer ambiguity. Third, it constructs the length of baseline to calculate baseline vector, which improves the solution success rate of integer ambiguity and reduces frequency of mutation occurs in attitude angle solving process. Finally, baseline vector is employed to solve the attitude angle of unpiloted car. The extensive experimental results demonstrate that the success rate of the attitude reach 95% within 2° of error under the constraint of the baseline, and the error of the attitude is less than 1° under the dynamic condition.
- Subjects
OPTIMIZATION algorithms; GLOBAL Positioning System; ARTIFICIAL satellite attitude control systems; ATTITUDES toward technology; ANGLES; DIFFERENCE equations; DIFFERENTIAL evolution
- Publication
Wireless Networks (10220038), 2024, Vol 30, Issue 5, p3375
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-019-02062-y