北斗双频组合动对动高精度相对定位新算法

发布时间：2018-04-13 11:18

本文选题：北斗导航系统 + 动对动　；参考：《中国惯性技术学报》2016年06期

【摘要】：针对动对动相对定位基线矢量实时变化导致整周模糊度浮点解在动态情况下难以快速精确求解的问题,提出了一种北斗双频动对动相对定位算法:对组合双差方程基线向量的系数矩阵进行奇异值分解,并变换组合双差方程以消除基线参量,将变参数估计问题转化为定参数估计问题,然后采用递推最小二乘算法实时推算组合模糊度的浮点解及其协方差矩阵,在此基础上,采用最小二乘模糊度降相关平差法(LAMBDA)搜索和固定组合模糊度。试验结果表明,该方法能够快速准确固定组合模糊度,与单频解算相比,初始化时间用时更短,基线误差在5 cm以内,能较好地适用于动对动相对定位。
[Abstract]:Aiming at the problem that the real time change of baseline vector of relative dynamic positioning results in the difficulty of fast and accurate solution of integer ambiguity floating-point solution under dynamic condition.In this paper, a new algorithm for the relative positioning of Beidou dual-frequency dynamic opposite motion is proposed. The coefficient matrix of the baseline vector of the combined double difference equation is decomposed by singular value decomposition, and the combined double difference equation is transformed to eliminate the baseline parameter.The variable parameter estimation problem is transformed into the fixed parameter estimation problem, and then the floating-point solution of the combined ambiguity and its covariance matrix are calculated in real time by using the recursive least square algorithm.The least square ambiguity reduction correlation adjustment method is used to search and fix the combined ambiguity.The experimental results show that this method can fix the combination ambiguity quickly and accurately. Compared with the single frequency solution, the initialization time is shorter, the baseline error is less than 5 cm, and the method is suitable for dynamic relative positioning.
【作者单位】：空军工程大学信息与导航学院;
【基金】：国家自然科学基金项目(61273049) 陕西省自然科学基金(2014JM8309)
【分类号】：TN967.1

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