Low-cost dual-frequency GNSS system for high precision vehicle tracking | |
| Author | Siwat Kongwarakom |
| Call Number | AIT Thesis no.RS-20-10 |
| Subject(s) | Global Positioning System--Remote sensing Real-time processing Automobiles--Tracking |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Abstract | GNSS have been used for positioning for many years, however, most are limited to high precision fields due to the high price of the equipment. Recently, low-cost dual- frequency receiver and antenna have been released to the market, thus this study investigates the feasibility of using the equipment coupled with free and open source software namely RKTLIB to provide precise positions of a moving vehicle in highway and campus setting. Field tests were carried out into two parts for RTK and RT-PPP test. In RTK test, horizontal distances from a survey-grade antenna (as reference) to a low-cost's were calculated and compared to a known length. Accuracy statistic reveals that the low-cost equipment can provide precise positions (less than 10 em horizontal distance error with respect to reference position) for more than 42% of the time with over 96-98% of accurate RTK fixed solution, and more than 98% RTK availability when a combination of GPS and BeiDou or GPS, GLONASS, and BeiDou are used regardless of base type (mixed base or geodetic-grade). In contrast, we find that GPS and GLONASS combination significantly degraded the RTK solution. For RT-PPP test, the RT-PPP results show no improvement from SPP result. With respect to RTK fixed position, the accuracy statistics are as follows. 2DRMS [m] = 5.299 for SSRAOOCNEO (CLK911CLK93), 2DRMS [m] = 10.694 for MDC1, and 2DRMS [m] = 7.525 for SPP. Experiment with PPP using CSRS-PPP online post-processing was also explored. CSRS-PPP using rapid product can bring 2DRMS down to 1.893 m. |
| Year | 2020 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Shrestha, Sangam;Miyazaki, Hiroyuki; |
| Scholarship Donor(s) | Royal Thai Government; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2020 |