Position Estimation of Ultra Wideband Indoor Wireless System

This paper provides the identification and positioning of an object or human in indoor environment using an ultra wideband impulse radar. To improve the positioning accuracy and to overcome the problems of trilateration, multilateration geometric positioning methods and location fingerprint methods, new range based equations system is created which is solved by means of linear algebra methods with low computational complexity. The position estimation is performed using direct and iterative processes with the time of arrival value from fixed reference nodes. An indoor position estimation as a function of reference node density is implemented. The performance of positioning algorithms decreases because the size of the area to be considered is accumulated for a set variety of reference nodes.