Comparative study of the Least Mean Square and Normalized Least Mean Square adaptive filters for positioning purposes

Positioning techniques based on cellular networks are gaining more attention thanks to their accuracy and availability in multiple environment compared to GPS signal which face a big difficulty to reach them. Those techniques can be enhanced with adaptive filtering process, In this paper we will try to introduce the chosen positioning method to work with then apply two different type of filters to compare their performances.