基于历史基线长度减小动态基线向量噪声的方法

发布时间：2018-04-04 01:07

本文选题：GNSS　切入点：载波相位　出处：《北京理工大学学报》2017年11期

【摘要】：静态情况下,GNSS载波相位相对定位可以通过对不同历元的三维基线向量按各自的维度滤波,从而减小基线向量噪声.而动态情况下,不同历元的基线向量不一定不变,故无法使用滤波算法.对于动态定向、定姿等应用,基线长度一般是固定的,通过对不同历元间基线长度取均值,平均基线长度的噪声将小于当前历元的基线向量噪声.基于此,本文提出一种基于历史基线长度减小动态基线向量噪声的方法.设计了将历史基线长度和当前历元基线向量进行数据融合的数学模型,推导了模型中的权值矩阵.通过误差传递的关系,得到噪声减小的理论表达式.通过仿真和实测基线数据验证该算法的性能,结果和理论分析一致.该算法实现简单,可在不添加硬件资源的情况下将基线向量噪声减小至80%左右.
[Abstract]:Under static condition, the relative positioning of GNSS carrier phase can reduce the baseline vector noise by filtering the 3D baseline vectors of different epochs according to their respective dimensions.In dynamic case, the baseline vector of different epoch is not constant, so filtering algorithm can not be used.For dynamic orientation, attitude determination and other applications, the baseline length is generally fixed. By taking the mean of baseline length between different epoch, the noise of average baseline length will be smaller than the baseline vector noise of current epoch.Based on this, a method of reducing dynamic baseline vector noise based on historical baseline length is proposed.A mathematical model of data fusion between the historical baseline length and the current epoch baseline vector is designed and the weight matrix in the model is derived.The theoretical expression of noise reduction is obtained by the relation of error transfer.The performance of the algorithm is verified by simulated and measured baseline data, and the results are consistent with the theoretical analysis.The algorithm is simple and can reduce the baseline vector noise to about 80% without adding hardware resources.
【作者单位】：北京理工大学信息与电子学院;北京理工大学卫星导航电子信息技术教育部重点实验室;
【基金】：国家高等学校学科创新引智计划(B14010) 科技北京百名领军人才培养工程(Z141101001514005)
【分类号】：P228.4

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