The project involves a software-defined GPS receiver using the legacy C/A code to produce clock bias and location estimates. It can run from pre-recorded sample files or an RTL-SDR with a web-based dashboard for visualization. The project is written in Python, utilizing libraries like aiohttp, NumPy, Pydantic, and pyrtlsdr.
The article describes a project where someone developed a software-defined GPS receiver from scratch using Python and an RTL-SDR dongle. The project tackles the 'coarse' positioning capability of GPS, achieving location resolution within 24 seconds from a cold start. The article highlights the project's accessibility and potential as a starting point for further exploration of GPS technology.
PySpecSDR is a Python-based Software Defined Radio (SDR) spectrum analyzer with real-time visualization, demodulation, and signal analysis capabilities.
rtl_433 is an open-source program designed to decode radio transmissions from various devices operating on ISM bands. It supports RTL-SDR and SoapySDR and can decode a wide range of sensors, including temperature, humidity, and rain gauges. The software is written in C and is known for its low resource consumption.
Track aircraft flying above you using a Raspberry Pi, RTL-SDR, and an LED matrix.
An rtl-sdr receiver for Itron ERT compatible smart meters operating in the 900MHz ISM band.
This article details how to use a software-defined radio (SDR) to read data from utility meters, allowing for a more complete understanding of energy usage in a smart home.
