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Remote Sens. 2012, 4(10), 3168-3183; doi:10.3390/rs4103168

A New Window-Based Program for Quality Control of GPS Sensing Data

Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea
Department of Spatial Information Engineering, Pukyong National University, Busan 608-737, Korea
Authors to whom correspondence should be addressed.
Received: 23 August 2012 / Revised: 16 October 2012 / Accepted: 16 October 2012 / Published: 18 October 2012
View Full-Text   |   Download PDF [1517 KB, 19 June 2014; original version 19 June 2014]   |  


The main purpose of this study is to develop a new Windows-based program that calculates a quality control parameter that shows the quality of GPS observations using Global Positing Sensing (GPS) data in a Receiver INdependent Exchange (RINEX) format. This new program, Global Positing Sensing Quality Control) (GPSQC), allows general GPS users to easily and intuitively check the quality of GPS observations before post-processing, which will lead to the improvement of GPS positioning precision in diverse areas of GPS applications. The GPSQC is designed to control the multi-path, cycle slip, and ionospheric errors of L1 and L2 signals in GPS observations. The GPSQC was developed using C#.NET language for the Window series with Microsoft Graphical User Interfaces (MS GUIs). This program gives brief information for GPS observations, time series plots, graphs of quality control parameters, and a summary report in MS word, Excel and PDF formats. It can simply perform quality checking of GPS observations that is difficult for surveyors conducting field work. We expect that GPSQC can be used to improve the accuracy of positioning and to solve time-consuming problems due to data loss and large errors in GPS observations.
Keywords: GPS observations; GPSQC program; quality control (QC); QC parameters GPS observations; GPSQC program; quality control (QC); QC parameters
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lee, D.; Cho, J.; Suh, Y.; Hwang, J.; Yun, H. A New Window-Based Program for Quality Control of GPS Sensing Data. Remote Sens. 2012, 4, 3168-3183.

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