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Target Detection by Fuzzy Gustafson-Kessel Algorithm
Mousumi Gupta
Pages - 203 - 208     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
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KEYWORDS
Target Detection, Clutter Rejection, Data Normalization, Fuzzy Clustering, Fuzzy Gustafson-Kessel (FGK).
ABSTRACT
Many commercially available radar systems offer a range of filter options but the problem of clutter rejection for target detection is still present in a number of situations. Rejection of clutter and detection of targets from radar captured data is a challenging task. Raw data captured by radar are not always scaled. A normalization technique has been proposed which transforms the radar captured data into 8 bit. As 8 bit data is easy to analyze and visualize. A modification on Fuzzy c-means has been done by developing Fuzzy Gustafson–Kessel (FGK) algorithm and the result shows robustness of this proposed method.
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Mr. Mousumi Gupta
Siikim Manipal Inst of Tech - India
mousmi_gt@yahoo.co.in