Challenges for GNSS-based high precision positioning - some geodetic aspects

S. Schön, F. Dilßner
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引用次数: 5

Abstract

In geodesy, GNSS-based methods are widely used for positioning and navigation. Since the precision (< some mm) and accuracy (< 1 cm) requirements are very high, sophisticated correction models and analysis strategies were developed, e.g. like the network RTK concept realised in different active permanent reference station networks. However, multipath and signal diffraction as well as the incomplete stochastic model for GNSS observations limits still the attainable accuracy and precision, especially for real time applications. In this paper, we focus on multipath and diffraction mitigation. The state of the art procedures for mitigation are revisited as well as the challenges for new strategies are addressed and explained using examples from the Satellite Positioning Service of the German National Survey (SAPOS) and from typical geodetic monitoring networks. Finally the importance of a complete stochastic model for GPS observations for statistically tests and meaningful interpretations of the results is underlined.
基于gnss的高精度定位面临的挑战——一些大地测量方面的问题
在大地测量学中,基于gnss的方法被广泛用于定位和导航。由于精度(小于若干毫米)和精度(小于1厘米)要求非常高,因此开发了复杂的校正模型和分析策略,例如,在不同的主动永久参考站网络中实现的网络RTK概念。然而,GNSS观测的多径和信号衍射以及不完整的随机模型仍然限制了可达到的精度和精度,特别是在实时应用中。在本文中,我们主要关注多径和衍射抑制。通过德国国家调查局(SAPOS)的卫星定位服务和典型大地测量监测网的例子,重新审视了最先进的缓解程序,处理并解释了新战略面临的挑战。最后,强调了一个完整的GPS观测随机模型对于统计检验和对结果进行有意义解释的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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