Human Tracking and Positioning in Semi Outdoor Area using Ultra Sound Positioning System

Abstract

In this thesis, we introduced the indoor and semi outdoor location determination problem. The localization accuracy metrics are the mean error per pixel and the room averaged mean error. We have tried to assess the accuracy of the algorithm, as the location and the number of BSs varies, path loss exponent n value changes. By measuring RSS and mean error of our proposed system, it is concluded that the number of BS must be greater than or at least seven. By calculating and measuring the average mean error of all pixels of our proposed system and reducing the value of AME by increasing BSs, we have made our system more efficient than other systems and we have deployed this technique in a semi outdoor environment instead of only indoor.

Cite this Article Saima Almas, Md. Humayun Kabir. Human Tracking and Positioning in Semi Outdoor Area using Ultra Sound Positioning System. Journal of Communication Engineering & Systems. 2016; 6(3): 23–31p.