An improved pedestrian tracking algorithm for NLOS cellular environments

Pedestrian position tracking is essential in implementing many of the new location based services in cellular networks. The ability for positioning in non-line of sight (NLOS) environments has made cellular network based positioning highly popular. However, the position estimation fine-tuning step in the current cellular network based positioning algorithm is not utilizing the available information completely. Thus, an improved position fine-tuning step is proposed in view of a more accurate final position estimate by harnessing all the available information. Simulation results verify the accuracy improvements associated with the three proposed fine-tuning techniques. Furthermore, the same fine-tuning techniques can also be utilized to fine-tune global positioning system (GPS) based positioning too, to obtain high accuracies without complicated hardware.