| Title |
A Study on the design of a Radar-Based Indoor Positioning System for Precise Positioning |
| Authors |
Han-Sol Lee ; Ju-Hyun Jeon |
| DOI |
http://doi.org/10.5207/JIEIE.2022.36.2.014 |
| Keywords |
InDoor location detecting; Kalman filter; Long short term memory; Machine learning; Radar based location detecting |
| Abstract |
As the use of smart devices increases, the importance of the IoT(Internet of Things) and AR(Augmented Reality) is growing. This leads increasing demand for accurate location-based services, but tracking indoor location using existed way is difficult and expensive. This paper devises a new method to address these shortcomings. The radar based method process conjoined four-directed beacons’ BLE(Bluetooth Low Energy) RSSI(Received Signal Strength Indicator) values to find out the direction and distance of the target. During the process Kalman filter is applied to reduce noise of RSSI caused by unpredictable radio propagation characteristics in various indoor environments, also using LSTM(Long Short Term Memory) to track the exact location. |