Comparison of Three Border Positioning (TBP) and Least Square Estimation (LSE) Algorithm Towards Indoor Positioning System (IPS)

Determining the estimated position of an object at a location is fundamental in navigation. Various devices have also developed a lot in the case of navigation, especially in the indoor navigation section. This is still an issue regarding the use of algorithms that can adapt to indoor navigation conditions using mobile devices. Indoor navigation requires information on environmental conditions that act as obstacles and the influence of electromagnetic waves on the level of accuracy of positioning in the Indoor Positioning System (IPS). To calculate the estimation of navigation distance, it can use a position estimation search algorithm such as Three Border Positioning (TBP) and Least Square Estimation (LSE). TBP method of finding an estimated position based on a reference with a minimum of 3 reference points. By using Bluetooth Low Energy (BLE) technology as a receiver, and iBeacon as a transmitter, and this information is provided to Tx Power, Received Signal Strength Indicator (RSSI), this research aims to compare the TBP and LSE algorithms for calculating point accuracy levels towards indoor navigation distance. This result of the research has error values of the two algorithms using a tripod respectively 8.54 and 5.82. Meanwhile, the results using hand grip were respectively 12.69 and 6.11. These results were obtained due to obstruction factors in the position of the iBeacon as a reference point, objects in the room, and attenuation from the hand grip.