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'CLOUD-END' ARCHITECTURE-BASED PPP-RTK ENHANCEMENT METHOD AND SYSTEM

机译:“云端”基于架构的PPP-RTK增强方法和系统

摘要

A "cloud-end" architecture-based PPP-RTK enhancement method. First, massive high-precision user terminals around the globe perform PPP, and once the locations thereof converge, space correction information (comprising ionospheric correction numbers, and tropospheric correction numbers) based on the precise locations thereof is generated, and is uploaded to the "cloud" by means of a communication link. Then, in the "cloud", the space correction information from the massive user terminals is uniformly and intelligently processed to generate gridded space correction parameters, and low-orbit satellites are used to broadcast the space correction information to users in corresponding regions. The user terminals use the received correction information to perform PPP again, and upload the space correction information that is based on the precise locations thereof to the "cloud", which achieves PPP-RTK service around the globe by means of the intelligent evolution of the massive user terminals. The problem in which a traditional PPP-RTK service requires that a large number of ground monitoring stations be built, which is extremely costly and cannot achieve wide-area PPP-RTK service around the globe, is solved.
机译:基于“云端”架构的PPP-RTK增强方法。首先,全球围绕全球的大量高精度用户终端执行PPP,并且一旦其位置,基于其精确位置的位置,其位置会收敛,空间校正信息(包括电离层校正数和对流层校正数),并将其上传到“云“通过通信链路。然后,在“云”中,来自大规模用户终端的空间校正信息均匀地和智能地处理以生成网格空间校正参数,并且低轨道卫星用于向相应区域中的用户广播空间校正信息。用户终端使用接收的校正信息再次执行PPP,并将基于其精确位置的空间校正信息上载到“云”,这通过智能演进来实现全球的PPP-RTK服务。大量用户终端。传统的PPP-RTK服务要求建立大量地面监测站的问题,这是极其昂贵的,并且无法在全球范围内实现广域的PPP-RTK服务。

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