Fuzzy algorithm for multidimensional clustering and elementary detections estimation

Author

Kuczerski, Tomasz ; Tomczyk, Mariusz

Author_Institution

Inst. of Radar Technol., Mil. Univ. of Technol., Warsaw, Poland

Volume

2

fYear

2000

fDate

2000

Firstpage

665

Abstract

As the result of using a pencil beam in 3D radar, elementary detections, which come from one target, occur in few adjacent positions of the antenna beam. Similar operation is called data fuzzyfication in fuzzy logic. For the purpose of obtaining the best quality coefficient of single and group target discrimination it is necessary to use a clustering of elementary detection algorithm and parameter estimation based on elementary detection of the discriminating group. The modified fuzzy c-mean algorithm presented allows both multidimensional discrimination and estimation of the m-parameter target group

Keywords

fuzzy logic; parameter estimation; radar computing; radar detection; radar theory; 3D radar; data fuzzyfication; elementary detection estimation; fuzzy logic; modified fuzzy c-mean algorithm; multidimensional clustering; multidimensional discrimination; parameter estimation; pencil beam; radar detection; target discrimination; Azimuth; Clustering algorithms; Detection algorithms; Logic; Multidimensional systems; Parameter estimation; Radar antennas; Radar detection; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves, Radar and Wireless Communications. 2000. MIKON-2000. 13th International Conference on

Conference_Location

Wroclaw

Print_ISBN

83-906662-3-5

Type

conf

DOI

10.1109/MIKON.2000.914022

Filename

914022