A fast distributed indoor positioning based on received signal strength index

Abstract

The ubiquitous WiFi makes it a location service infrastructure and attracts more attention now. We use the cubic spline interpolation method to interpolate the attenuation factor n, and a wide range of indoor corridor environments test results show that the cubic spline interpolation method is more conducive to achieving the precise distance. We also improved the classical trilateration positioning algorithm with a priori knowledge of the specific positioning environment. The improved positioning algorithm significantly reduces positioning errors and improves positioning accuracy. The positioning method is transferred to the embedded positioning node to make distributed positioning with lower calculation cost.