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基于方差的BDS/GPS/GLONASS数据融合及程序实现

BDS/GPS/GLONASS Data Fusion based on Variance and Program Application
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摘要 基于HELMERT方差分量估计数学模型,实时迭代计算求出最优的权比,提高定位稳定性和精度。并通过上一历元迭代结果作为下一历元计算初值,减少迭代次数。通过实测数据解算表明:相比传统固定权比,该方法使得定位精度在各个方向得到显著提高。特别在观测条件不好的情况下,保证了定位精度和稳定性。 Based on the HELMERT variance component estimation model,the optimal weight ratio is calculated by real-time iteration to improve the positioning stability and accuracy.The iteration times of the previous epoch are used as the initial values of the next epoch to reduce the number of iterations.The calculation of the measured data shows that compared with the traditional fixed weight ratio,the positioning accuracy of this method is significantly improved in all directions.Especially under the condition of poor observation conditions,the positioning accuracy and stability are ensured.
作者 石俊鹏 袁明月 Shi Junpeng;Yuan Mingyue(Henan College of Transportation,Zhengzhou,China)
出处 《科学技术创新》 2023年第8期9-12,共4页 Scientific and Technological Innovation
关键词 数学模型 数据融合 HELMERT方差分量估计 mathematical model data fusion HELMERT variance component estimation
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