TSU has created an algorithm for launching satellite navigators
Evgeny Vaiman, a TSU radiophysicist, has developed an algorithm for quickly launching satellite tracking devices quickly, which improves the operation of navigators, making the search for people and vehicle monitoring more efficient. The researcher defended his master's thesis as part of an exchange program between TSU and the Anhalt University of Applied Sciences (Germany).
Yevgeny Vaiman studied at TSU for the first year, and then went to Anhalt University. He studied satellite tracking devices under the guidance of professors Vladimir Yakubov and Eduard Siemens.
'Modern navigation satellite systems can determine the location of an object in a short time and with high accuracy. According to the data for 2018, the receivers of the Swiss company u-blox provide the shortest time for the first fixation at a cold start - this is the time during which the receiver can determine the first coordinates of its location. They are trying to reduce this time,' Evgeny Vaiman. 'The main problem is that under bad conditions, position determination may take several minutes. The main goal of the work was to analyze the built-in functions and identify the most productive ones during the cold start of the device.'
The radiophysicist has developed an algorithm to improve the navigation receivers and tested it on an EVK-M8C card from u-blox. According to the results, the time of the first fixation can be reduced by 7.07 times: initially, it was 3 minutes, 4 seconds, and later it became 26 seconds.
'The algorithm is suitable for all available navigation systems: GLONASS, GPS, Galileo, and others. Modern receivers try to support all systems, although GPS and GLONASS are still leaders,' said Evgeny Vaiman.
Evgeny Vaiman conducted experiments in the German company IBH-Impex, which develops its own tracking devices. Already, the company is working on the implementation of methods proposed by the Tomsk scientist. For the next three months, he will assist in the company and take additional measurements to improve the algorithm.
Provided by Tomsk State University