Geometric Positioning Techniques Based on Tracking Algorithm for Indoor Dynamic Environments

This article presents location-estimation algorithm based on tracking algorithm for indoor dynamic environments. Wireless positioning techniques have gained more popularity in recent years. There are many approaches for indoor positioning systems, such as received signal strength (RSS), angle of arrival, time of arrival, and time difference of arrival. In terms of indoor positioning approaches by trilateration technique to determine the location of mobile devices, this article illustrates the concept of the measured range extract from time of arrival approaches. Then an easy geometric technique is applied. Furthermore, in order to enhance performance, Kalman filtering approach is used to track and correct the movement path of mobile device to effectively improve positioning accuracy.