Abstract
This paper proposes an effective method to localize mobile phones in 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 the actual movement of a user is difficult to be represented by only one motion model, it will show better error performance 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 Kalman filter and IMM implementation confirm our postulation that IMM significantly reduces location error.
Original language | English |
---|---|
Pages (from-to) | 2829-2832 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 5 |
Publication status | Published - 2001 |
Event | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 2001 May 7 → 2001 May 11 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering