Özet:

Wireless communications systems are among the most used and rapidly developing technologies today. With the developments in wireless systems and hardware materials, the design of low-cost, low-energy and easy-to-install wireless networks enables different physical data in a environment to be obtained. Localization systems used to identify the places where objects are located, use wireless technologies. Nowadays, the use of localization systems is increasing and spreading. The first GPS satellite systems used to determine locations in open spaces have been developed. This system is widely used in military and civil practices worldwide. Open-space positioning is also often used by satellite signals and location detection is carried out through the time of arrival of the signals. But when it comes to closed spaces, a different approach and solution needs to be developed. In our work, three separate hardware used Wi-Fi and Bluetooth signals to determine locations in closed areas has been developed. Experiments using machine learning methods show that the equipment developed to determine the location in the closed area can detect the location with an error in the 1-1,5m range.

Anahtar Kelimeler:

Özet:

Wireless communication systems are among the most used and rapidly developing technologies of today. With the advances in wireless systems and hardware materials, different physical data in an environment can be obtained by designing low cost, low energy consumption and easy to install wireless networks. Positioning systems used to detect the locations of objects use wireless technologies. Today, the use of positioning systems is increasing and becoming widespread. Firstly, GPS satellite systems that are used to determine the location in open areas were developed. This system is widely used in military and civilian applications worldwide. In open field positioning, satellite signals are generally used and position determination is performed over the arrival time of the signals. However, when it comes to closed areas, a different approach and solution should be developed. In our study, three separate equipment using Wi-Fi and Bluetooth signals were developed to determine the location in closed areas. Experiments using machine learning methods show that the equipment developed to determine the location in the indoor area can detect locations with an error in the range of 1-1.5m.