A position-
tracking system for tracking the position of an object is disclosed. According to various embodiments, the
tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor
assembly, radio transceivers and a processor. The
position tracking system may also include a host
processing system that is in communication with the tracking device. The
position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the
object based on a
wireless telephone network Cell-ID / map correlation architecture. In a high-resolution area, greater
position resolution may be realized from the combination of a
wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may
exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the
position tracking system may estimate the state of the
object based on the kinematic model for the
current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the
object based on the motion pattern identified.