An open-source software package for Precise Point Positioning: raPPPid

Abstract

Precise Point Positioning (PPP) has proven to be a powerful GNSS positioning method used for various scientific and commercial applications nowadays. We present a flexible and user-friendly software package named raPPPid suitable for processing single to triple-frequency GNSS observations in various PPP approaches (e.g., ionospheric-free linear combination, uncombined model), available under https://github.com/TUW-VieVS/raPPPid. To tune the PPP procedure, the user can select from many satellite products, models, options, and parameters. This way, the software raPPPid can handle high-to-low quality observation data ranging from geodetic equipment to smartphones. Despite significant improvements, the convergence time of PPP is still a major topic in scientific research. raPPPid is specially designed to reduce the convergence period with diverse implemented approaches, such as PPP-AR or ionospheric pseudo-observations, and to offer the user multiple plots and statistics to analyze this critical period. Typically, raPPPid achieves coordinate convergence times of around 1 min or below with high-quality observations and ambiguity fixing. With smartphone data and a simplified PPP approach, a 2D position accuracy at the one-meter level or below is accomplished after two to three minutes.

Breaking the One-Meter Accuracy Level with Smartphone GNSS Data

“…This section presents position coordinate results obtained with two state-of-the-art smartphones (Google Pixel 7 and Samsung Galaxy S23+) and our open-source PPP software raPPPid [15,16]. The smartphones were placed on geodetic reference points on the rooftop of TU Wien, ensuring suitable reference coordinates.…”

“…Several adjustments of the PPP technique are necessary to process the challenging GNSS measurements from smartphones in an adapted PPP mode [13,14]. The approaches presented in the following are implemented in our open-source PPP software raPPPid [15,16], available at https://github.com/TUW-VieVS/raPPPid (accessed on 24 November 2023). Additionally, Eng.…”

Düşük Maliyetli GNSS Alıcılarının Çoklu-GNSS PPP Performanslarının Farklı Anten Tipleri ve Ağırlık Modellerine Göre Araştırılması

“…Görüş engelinin bulunmadığı açık gökyüzü ortamına sahip alanda, jeodezik amaçlı anten olan NovAtel 702 anteni ve düşük maliyetli anten olan u-blox ANN-MB-00-00 kullanılarak, aralarında yaklaşık 4 m mesafe olan iki noktada statik gözlem verileri toplanmıştır. Bu veriler VieVS (The Vienna VLBI and Satellite Software) tarafından sunulan oldukça kullanıcıdostu olan raPPPid isimli GNSS PPP yazılımı ile değerlendirilmiştir (Glaner and Weber 2023). raPPPid yazılımı farklı kombinasyonlar kullanmaya izin verdiğinden GPS, GPS+GLONASS, GPS+GLONASS+Galileo ve GPS+GLONASS+Galileo+ BDS-2 olmak üzere dört farklı kombinasyon seçilerek çözümler gerçekleştirilmiştir.…”

Comparing Discrete and Empirical Troposphere Delay Models: A Global IGS‐Based Evaluation

“…F. 2019) applied the discrete model in real-time GNSS applications, evaluating its performance using forecast data from the European Center for Medium-Range Weather Forecasts (ECMWF). In addition, many GNSS data processing software use VMF1/VMF3 corrections for tropospheric delay, such as raPPPid (Glaner & Weber, 2023), Pride (Geng et al, 2019), Gamit (King & Bock, 2005), and GIPSY (Gandolfi et al, 2016). (c) For accuracy assessment, Lu et al (2023) used the VMF3 ZWD product as a reference value to assess the accuracy of the tropospheric delay network model.…”