基于观测噪声的BDS/GPS伪距差分定位随机模型分析  被引量:2

Analysis on the stochastic model of BDS/GPS pseudo-range differential positioning based on observation noise

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作  者:邓健 裘张锦 江泽霖 王欢 DENG Jian;QIU Zhangjin;JIANG Zelin;WANG Huan(College of Computer and Information Engineering,Xiamen University of Technology,Xiamen 361024,China;Big Data Institute of Digital Natural Disaster Monitoring in Fujian,Xiamen 361024,China)

机构地区:[1]厦门理工学院计算机与信息工程学院,福建厦门361024 [2]数字福建自然灾害监测大数据研究所,福建厦门361024

出  处:《海洋测绘》2022年第4期50-54,共5页Hydrographic Surveying and Charting

基  金:福建省自然科学基金(2019J01852)。

摘  要:合理的随机模型对提高GNSS定位精度具有重要的现实意义。针对高度角定权等常规随机模型无法较准确评估伪距观测值质量,提出一种基于伪距观测噪声的分区定权方法。首先,基于载波、伪距双差观测量构建几何无关组合,并利用滑动窗口取平均法进一步分离出伪距观测噪声;在此基础上,以观测噪声越小对定位解算贡献率越大为原则,建立了观测噪声分区定权的随机模型;最后,设计伪距差分静、动定位实验分析其性能。结果表明,在不同距离条件下,基于观测噪声的分区定权模型无论是在静态还是动态伪距差分定位中,定位精度都要优于等权及高度角定位模型。该随机模型有效提高了伪距定位精度,且易于实现,具有一定的实际应用价值。A reasonable stochastic model is of great significance for improving GNSS positioning accuracy.In view of the fact that conventional random models such as altitude angle weighting cannot accurately evaluate the quality of pseudorange observations, a partition weighting method based on pseudorange observation noise is proposed.Firstly, the geometry-free model is constructed based on the carrier and pseudo-range double-difference observations, and the pseudo-range observation noise is further separated by using the sliding window averaging method.On this basis, considering the principle that the smaller the observation noise is, the greater the contribution rate of the positioning solution is, the stochastic model of the observation noise partition weighting is established.Finally, related static and dynamic pseudo-range differential positioning tests are designed to analyze its performance.The results show that under different distance conditions, the positioning accuracy of the partition weighting model based on observation noise is better than that of the equal weight and altitude angle positioning model in both static and dynamic pseudorange differential positioning.The random model can effectively improves the pseudorange positioning accuracy and is easy to implement, so it has certain practical application value.

关 键 词:北斗/GPS 伪距差分定位 随机模型 观测值定权 噪声观测 

分 类 号:P228.4[天文地球—大地测量学与测量工程]

 

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