Optimization of navigation algorithms parameters in fingerprint method by received Wi-Fi signal

The use of indoor positioning systems is becoming a popular method of solving various problems. The use of Wi-Fi technology for positioning tasks is promising because of the cheap and common equipment. The existing fingerprint positioning algorithms using Wi-Fi are characterized by the presence of free parameters, which developers select independently, while not describing how they select these parameters. The goal of the paper is to investigate the influence of free parameters on the positioning accuracy. Three free parameters were selected for the study, the number of measurements used, the step of the reference map grid and the number of nearest neighbors. The analysis of carried experiment showed smallest error of coordinate estimation in the plane is 2 m for the weighted method k nearest neighbors when using one measurement with the highest value of the received signal strength and a grid spacing of 3 meters.