In this paper, a software implementation that records Global Positioning System (GPS) and long-range navigation (Loran) measurement data output from an integrated GPS/Loran receiver and organizes them based on time is proposed. The purpose of the developed software is to collect measurements from multiple Loran transmitter chains for performance analysis of navigation methods using Loran, and to organize the data based on time to make it easy to use them. In addition, GPS measurements are also collected and managed as ground truth data for performance analysis. The implemented software consists of three modules: recording, classification, and conversion. The recording module records raw text data streamed from the receiver, and the classification module classifies the recorded text data according to the message format. The conversion module parses the classified text data, sorts GPS and Loran measurements based on timestamp, and outputs them according to the software platform of the user to analyze the measurements. Each module of the software runs automatically without user intervention. The functionality of the implemented software was verified using GPS and Loran measurements collected over 24 h from an actual integrated GPS/Loran receiver.
|Title of host publication||2020 20th International Conference on Control, Automation and Systems, ICCAS 2020|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|Publication status||Published - 2020 Oct 13|
|Event||20th International Conference on Control, Automation and Systems, ICCAS 2020 - Busan, Korea, Republic of|
Duration: 2020 Oct 13 → 2020 Oct 16
|Name||International Conference on Control, Automation and Systems|
|Conference||20th International Conference on Control, Automation and Systems, ICCAS 2020|
|Country/Territory||Korea, Republic of|
|Period||20/10/13 → 20/10/16|
Bibliographical noteFunding Information:
This research was a part of the project titled "Development of enhanced Loran system, " funded by the Ministry of Oceans and Fisheries, Korea.
© 2020 Institute of Control, Robotics, and Systems - ICROS.
Copyright 2020 Elsevier B.V., All rights reserved.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering