Tracking of mobile phone using IMM in CDMA environment

This paper proposes an effective method to localize mobile phones in a CDMA environment. This is to remedy the performance limitation inherent in the traditional localization algorithms, which make use of the present information only. If a Kalman filter is used that includes the previous information of location of a mobile unit, then the location error can be significantly reduced. Since it is difficult to represent the actual movement of a user by only one motion model, better error performance will be shown if an interacting multiple model (IMM) that uses several Kalman filter models is applied in place of just one Kalman filter. Performance analysis of the location error between the Kalman filter and IMM implementations confirm our postulation that the IMM significantly reduces location error.