FGI-GSRx Open Source multi-GNSS software receiver
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Updated
May 26, 2025 - MATLAB
FGI-GSRx Open Source multi-GNSS software receiver
A driver for u-blox receiver (ZED-F9P) with ros support
Autosteering and RTK-GNSS units for AgOpenGPS / QtOpenGuidance
Open-source GNSS Direct Position Estimation Plug-in Module for MATLAB-based Two-step Positioning Software Defined Receivers
🛰️ Double Differencing: Main method of high precision commercial positioning. This method requires two high grade GNSS receivers. In this case a reference, and a (static or kinematic) rover receiver.
Benchmarking GNSS system at the Xilinx PYNQ FPGA based platform
Attempt to port to GNU/Linux the Quectel GNSS receiver configuration software
This exercise focuses on processing Global Navigation Satellite Systems (GNSS) data, particularly emphasizing double differences (DD) and cycle slip detection. The dataset provided represents a static GPS measurement campaign conducted in a densely populated urban environment, comprising five stations labeled HH01 to HH05.
GNSS Measurement Engine System Design: Communication Engineering Perspectives
GNSS receiver network tropospheric tomographic matrix calculator.
u-blox ZED-F9P GNSS Raw Data Logger based on Raspberry Pi Zero / RTKLIB
Open-source GNSS Multipath Mitigation Technology-integrated Direct Position Estimation for Urban Navigation
BINEX (Binary EXchange) stream parser
Interactive educational multipurpose package to process and analyse GNSS data, i.e., a GNSS positioning simulator.
This code implements a firmware for extracting data from an SBG Ellipse-2N sensor. It configures three serial interfaces to communicate with the sensor and other devices, and reads data from the sensor to extract Euler angles, navigation data, and GPS data.
This repository contains MATLAB scripts and code snippets for analyzing and resolving ambiguities in positioning systems, with a focus on integrity analysis. The scripts provide implementations of algorithms and techniques for resolving ambiguities in positioning data, computing integrity metrics, and visualizing the results.
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