This paper presents a new method for tracking a zigzag maneuvering target by compensating for the positional error of the target. The positional difference between the measured and predicted points is separated into acceleration and noise. Fuzzy c-means (FCM) clustering is utilized as an adaptive method for noise separation. Approximating acceleration is determined by the membership function of the FCM. The approximated acceleration is used to compensate for the tracking error. The procedures of the proposed algorithm can be implemented as an on-line system. Finally, some examples are provided to show the effectiveness of the proposed algorithm.
|Number of pages
|International Journal of Control, Automation and Systems
|Published - 2014 Feb
Bibliographical notePublisher Copyright:
© 2015, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications