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projecthorus/horus_utils

Name: horus_utils

Owner: Project Horus

Description: Ground Station & Chase Car Utilities for High-Altitude Balloon Tracking

Created: 2017-12-28 10:05:45.0

Updated: 2018-05-20 12:06:20.0

Pushed: 2018-05-05 09:46:23.0

Homepage: null

Size: 617

Language: Python

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README

Project Horus - Ground Station & Chase Car Utilities for High Altitude Balloon Tracking

This repository contains various libraries & utilities used for:

Routing of payload telemetry data from various data sources into the OziPlotter offline mapping & prediction system.
Uploading of chase-car positions & payload telemetry to the Habitat Tracker
Handling of telemetry data from the Project Horus LoRa 'Mission Control' high-altitude balloon payload.

In the context of this repository, the term 'telemetry' generally refers to position (latitude/longitude/altitude) data from a high-altitude balloon payload, but can also include command & control messages, for example those send to/from the mission control payload.

In essence, these utilities provide the 'glue' that connects the telemetry sources (LoRa receivers, fldigi, radiosonde receivers) with the mapping applications (OziPlotter, Habitat).

The main use-cases for these utilities are:

Management of telemetry on a High Altitude Balloon Chase-Car PC
Headless reception of Mission Control Payload telemetry using a Raspberry Pi.

All the applications mentioned within this documentation are provided as Python scripts (within the apps directory), which are (mostly) cross-platform.

Related repositories include radiosonde_auto_rx (a source of payload telemetry data, in this case from radiosondes), and OziPlotter (for offline mapping of payload positions).

Refer to the wiki pages for further documentation.

Changelog

2018-02-08 - Main Telemetry packet format has been updated to use HH/MM/SS representation of time instead of 'bi-seconds'. All ground stations will need to be updated.

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.