World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

VALIDATION OF REAL-TIME PRECISION POSITIONING USING INEXPENSIVE SINGLE-FREQUENCY TYPE LOCAL-AREA RTK SYSTEM AND NETWORKS

    https://doi.org/10.1142/9789811275449_0031Cited by:0 (Source: Crossref)
    Abstract:

    We constructed a low-cost and easy-to-handle local-area RTK-GNSS positioning system which can automatically perform RTK positioning every second. The positioning was conducted at two reference stations to evaluate the accuracy and reliability of the real-time data: (1) at the university campus (ground fixed point) with obstacles such as buildings and trees, hindering a GNSS satellite signal reception and (2) at the open-sky rooftop of a 11-story school building (rooftop fixed point), where the reference station had been set up with only few obstacles to GNSS satellite signal reception. At the ground station, the network connection status, temperature, and relative humidity were also simultaneously measured. Consequently, 600 data were acquired in 10 min, and the data with the highest ratio were further selected for analysis. For the ground-based fixed points, the standard errors of all the data were >10 times more accurate than those of D-GNSS; however, such result is unsatisfactory, as previously anticipated for RTK positioning. We further filtered the data with less than 15 satellites and less than 9 ratio values and found that the data quality and reliability were improved to a satisfactory level. For the rooftop fixed point, the standard error of all the data was approximately 1 mm in both horizontal and vertical directions, thereby indicating higher accuracy than the data from the ground fixed point. Consequently, we obtained accurate and reliable data with less scatter. Overall, it is possible to obtain accurate and reliable RTK positioning data in real time using statistical processing to eliminate outliers.