Hybrid Localization Technique Based AoA/RSS for 2.4 GHZ Wi-Fi Access Point Allocation Using Insite Simulator

Many individuals and businesses in similar fields have brought attention to the fact that it is possible to achieve indoor localization by using wireless signals that are delivered within the Wi-Fi signal. This is an important issue that has been extensively emphasized. As a result of the many reasons associated with the inability of GPS to execute high accuracy estimations within the building and the cost effectiveness, the availability of Wi-Fi signal makes it more beneficial for researchers to manage. In light of this, the purpose of this study is to create a hybrid localization technique that makes use of the MATLAB computational environment. It is the Received Signal Strength (RSS) and Angle of Arrival (AoA) signals that are responsible for the functioning of the planned model. Additionally, it is built to handle multifloor localization, which has the potential to expand the availability of the setup technologies inside an interior setting. The findings that were acquired from the three different situations demonstrated a greater level of accuracy in estimating, with an accuracy ranging from 97.4 to 99.7 percent. This was achieved without considering the influence of interferences brought about by attenuations and signal distortion, which varies from one case study to the next. As a consequence of this, the method that was devised demonstrated more accurate results, with the highest range error being fifty centimeters.