Abstract
This paper presents a new method for tracking a zigzag maneuvering target by compensat- ing 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 adap- tive method for noise separation. Approximating acceleration is determined by the membership func- tion of the FCM. The approximated acceleration is used to compensate for the tracking error. The pro- cedures 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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
