Target Discovery: Using MUSIC with Optimized Angle-of-Arrival and Signal-Time-of-Flight

Abstract

In this paper, the proposed target discovery system with optimized Angle-of-Arrival (AOA) enhances the potential of commodity WiFi access point to locate a target within tens of centimeter. However, with the change of environment the trickiest issue in indoor localization is, to identify the phase of the received signal with different angle-of-arrival in multiple paths. In this paper, an inimitable algorithm has been anticipated for estimating the angle-of-arrival and signal-time-of-flight (STOF) with a basic principle, but different in phase approach. The proposed algorithm pronounces the performance of the estimation procedure, which can be enhanced by conveying values for each path. Reliant on how conceivable the precise path is the direct path. The simulation work demonstrates that Target Discovery Using MUSIC (TDUM) with Optimized Angle-of-Arrival (AOA) is comparable to state-of-the-art localization systems, which uses four to five access points with high stability of indoor positioning system. The predictable results show a comparable efficiency of the proposed algorithm.