Indoor Localization Based on Time of Arrival Using Multi-Zone Technique

Indoor position localization suffers from the regressive signal when the system implement based on Receive Signal Strength (RSS) and time synchronization when implement based on Time of Arrival (ToA). Those problems lead to high error in terms of position localization. To mitigate those errors many techniques and methods are deployed such as NLOS identification, Maximum Likelihood (ML), and weighted least-squares (WLS). In this paper, a new technique based on optimization of transmitter location has been proposed by separating the case study building into multi-zone, each zone having specific parameters which defer from other ones. The deployed receivers were 8 for the zones (A-F) and 20 into the zone G to be 68 for the whole system. There are three transmitters deployed with a changeable position to select a better one. The results confirm that the error improved from (0.638m) based on individual TOA to (0.136m) by using propose Multi-zone ToA, while improved from (0.756m) rely on individual RSS to (0.1223m) based on Multi-Zone RSS.