Leif Wiebking

Wireless local positioning

Local positioning will be one of the most exciting features of the next generation of wireless systems. Completely new concepts and features for wireless data transmission and transponder systems will emerge. Self-organizing sensor networks, ubiquitous computing, location sensitive billing, context dependent information services, tracking and guiding are only some of the numerous possible application areas. This article introduces different concepts of several existing and emerging systems and applications.

Wireless local positioning - concepts, solutions, applications

Local positioning will be one of the most exciting features of the next generation of wireless system. With this technique a mobile device can either gather the information about its position or can be localized from elsewhere. Completely new concepts and features in wireless data transmission and transponder systems is enabled by this. Self-organizing sensor networks, ubiquitous computing, location service billing, context dependent information services, tracking and guiding are only some of the numerous possible application areas. This paper gives an overview over existing wireless positioning solutions and attempts to structure different techniques and applications. Furthermore two novel positioning systems currently developed by Siemens are featured as system examples. First a neural cellular positioning system NCPS is introduced. This system is designed for positioning solutions for industrial, medical and consumer scenarios and is based on existing wireless voice and data infrastructure. Second the Siemens local positioning radar (LPR) is presented. This system is designed for cm-precision and realtime positioning in the area of industrial logistics, control and automation. The application examples are completed by an application in the field of augmented reality computing.

Angle tracking using FMCW radar based localization system

Position and direction finding are essential operations for almost every localization system. This paper presents an approach for the tracking of the orientation of industrial vehicles based on the FMCW radar system with a phased array antenna. To find the orientation of the mobile base station relative to stationary transponders an amplitude comparison approach has been successfully applied. A concept of the position tracking realized with the Extended Kalman Filter described in [1] has been extended to track the angle orientation of moving vehicle as well.

Angle tracking using FMCW radar based localization system (Industrial, environmental and medical applications)

Position and direction finding are essential operations for almost every localization system. The predominantly observed trend is an increasing importance of wireless sensors, which can be explained among other things through better montage convenience hence resulting cost reduction. This paper presents an approach for tracking of orientation of industrial vehicles based on an FMCW radar system with phased array antenna. To find an orientation of mobile base station relative to stationary transponders an amplitude comparison approach has been successfully applied. Concept of position tracking realized with extended Kalman filter has been described by Mastela et al. (2003). In this paper we extended the filter concept to track an angle orientation of moving vehicle as well.