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根据建筑物变形监测的特点,在部分模糊度解算(Par Lambda)算法基础上提出了一种基于北斗卫星导航系统(BDS)的单频单历元附有基线约束的改进型Par Lambda算法,该方法采用BDS单历元测码伪距和单频载波相位观测值组成的双差观测方程与基线长度约束方程进行最小二乘解算,获得模糊度浮点解方差-协方差阵,根据模糊度浮点解精度对双差模糊度进行(2,1,1,…,1)分级处理,基于Lambda算法分批次固定双差模糊度.采用该方法对BDS系统的B1和B2频段的1,5和10s短基线数据进行单频单历元解算.结果表明:采用BDS单频单历元模糊度解算时采用该方法的成功率较传统方法高,其成功率达到98%以上.
Based on the characteristics of building deformation monitoring, an improved Par Lambda algorithm with baseline constraint based on Par Lambda algorithm and single frequency single epoch based on BeiDou satellite navigation system (BDS) is proposed. In the method, the least squares solution of the double difference observation equation and the baseline length constraint equation composed of the single epoch of BDS and the phase observation of single frequency carrier was used to obtain the ambiguity floating point solution of variance-covariance matrix. According to the fuzzy (2,1,1, ..., 1) for double difference ambiguity resolution based on lambda floating point solution, and based on Lambda algorithm, the fixed double-difference ambiguity based on the Lambda algorithm is adopted.With this method, 1 , 5 and 10s short baseline data respectively.The results show that the success rate of this method when using BDS single-frequency single-epoch ambiguity resolution is higher than the traditional method, and its success rate is over 98%.