Application of Improved FCM on Classification of Multi-target Guided by AWACS

Author

Zhang, Kun ; Zhou, Deyun

Author_Institution

Dept. of Electron. Inf., Northwestern Polytech. Univ., Xi´´an

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

47

Lastpage

51

Abstract

An improved FCM (fuzzy C-means) algorithm is applied to classify the multi-target in the air combat, and divides them into several colonies averagely according to the simulation in different targets compared to traditional FCM algorithm. Meanwhile, this method reduces the computational complexity, and raises the operating speed by considering multi-target as a whole. Finally, multi-target colonies mathematical model has been established, the simulation result indicates that this improved algorithm is reasonable and effective.

Keywords

aerospace control; fuzzy set theory; mathematical analysis; air combat; airborne warning and control system; computational complexity; fuzzy C-means algorithm; mathematical model; multitarget guidance; Airborne radar; Aircraft; Airplanes; Clustering algorithms; Computational complexity; Computational modeling; Control systems; Fuzzy systems; Mathematical model; Velocity control; FCM; classification; multi-target; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.231

Filename

4665937