Position Estimation Using Trilateration based on ToA/RSS and AoA Measurement

Abstract

Abstract With the increasing demand for recent lifestyle new achievements have been developed in various fields of science and technology, target localization is considered one of the most important subjects especially in indoor conditions since most of the social activities done in the indoor environment. The presence of large buildings such as hospitals, malls, schools and other facilities of modern life increases the need for accurate target positioning. In this paper, a proposed system included simple equipment on three transmitters and some computer packages are used to apply our experiment. The case study chosen in this work is simulated using Wireless InSite (WI) software to model the campus with its all building. Three transmitters (TXs) are installed in selected position while twenty receivers (RXs) are deployed randomly as a target to estimate their position utilizing Time of Arrival (ToA) and Received Signal Strength (RSS) to estimate distance then trilateration is applied to determine target position with Angle of Arrival (AoA). The achieved result is addressed using specific equations to estimate the target positions.