Improved RSSI based Angle Localization using Rotational Object

Indoor localization with wireless fidelity (Wi-Fi) based received signal strength indicator (RSSI) has the advantages of low cost and easy installation compared to a broad range of other localization approaches. However, RSSI suffers from multiple interferences (catalyst factors) in indoor dynamic environments, which results in a significant error in RSSI measurements. To handle this issue, several methods have been proposed in the literature. These methods are classified into two categories: the trilateration method and location fingerprint positioning method. The trilateration method is based on the intersecting distance, and the fingerprinting method is based on specific geometric or probabilistic methods to calculate the unknown positions. This paper presents a new idea for angle localization using a rotating object. The objective is to find angles in the indoor environment with the most reliable RSSI values. The result demonstrates that the proposed method significantly locates the position of angles and successfully identify the best RSSI values for the perfect localization.