一种复杂环境下低成本GNSS接收机PPP自适应随机模型  

A PPP Adaptive Stochastic Model for Low-Cost GNSS Receivers in Complex Environments

作　　者：闫健文 蔡昌盛[1,2] 敖敏思 陈春花[3] YAN Jianwen;CAI Changsheng;AO Minsi;CHEN Chunhua(School of Geosciences and Info-Physics,Central South University,932 South-Lushan Road,Changsha 410083,China;State Key Laboratory of Geo-Information Engineering,1 Mid-Yanta Road,Xi’an 710054,China;Hunan Institute of Surveying and Mapping Technology,693 Mid-Shaoshan Road,Changsha 410007,China)

机构地区：[1]中南大学地球科学与信息物理学院,长沙市410083 [2]地理信息工程国家重点实验室,西安市710054 [3]湖南省测绘科技研究所,长沙市410007

出　　处：《大地测量与地球动力学》2025年第3期297-302,共6页Journal of Geodesy and Geodynamics

基　　金：地理信息工程国家重点实验室开放基金(SKLGIE2021-Z-2-1);国家自然科学基金(42174040,42388102);湖南省自然资源厅项目(HNGTCH-2023-05)。

摘　　要：提出一种适用于复杂环境下低成本接收机精密单点定位(PPP)的自适应随机模型,该模型通过对单个历元所有GNSS卫星的伪距观测值和载波相位观测值的权重比进行自适应调节,以提升PPP性能。采用和芯星通UM982型号低成本GNSS接收机,在树荫、高楼和玻璃墙3种复杂环境下进行PPP实验。静态PPP实验结果表明,相比传统的经验定权随机模型,自适应随机模型定位精度在3种复杂环境下分别提升24%、45%和50%,收敛时间分别缩短49%、27%和24%。动态PPP实验结果表明,自适应随机模型定位精度在复杂环境下提升35%。We propose an adaptive stochastic model for low-cost receiver precise point positioning(PPP)in complex environments.The model improves PPP performance by adaptively adjusting the weight ratio of pseudorange observations and carrier phase observations of all GNSS satellites in a single epoch.We take the Hexinxingtong UM982 low-cost GNSS receiver to conduct PPP tests in three complex environments,including tree shade,high buildings and glass walls.The static PPP results show that the positioning accuracy of adaptive stochastic model is improved by 24%,45%and 50%in three complex environments,respectively,and the convergence time is shortened by 49%,27%and 24%,respectively,compared with the traditional empirical weighted stochastic model.The kinematic PPP results show that the positioning accuracy of adaptive stochastic model is improved by 35%in complex environment.

关 键 词：低成本接收机 精密单点定位 自适应随机模型 

分 类 号：P228[天文地球—大地测量学与测量工程]