A Distributed Kalman Filter Algorithm for Self-localization of Mobile Devices
In many applications involving mobile devices it is essential to track their position. Moreover, it is usually desired, to perform this localization in a distributed fashion without using a central processing unit. In this case, only distance measurements to reference nodes which are in range can be utilized. It is proposed in this thesis to also use distance measurements to other moving objects,
