Title :
A Fuzzy-Logic Based Non Cooperative Target Recognition
Author :
Boulay, T. ; Lagoutte, J. ; Mohammad-Djafari, A. ; Gac, Nicolas
Author_Institution :
Thales Air Syst., Limours, France
Abstract :
In this paper, we present the problem of Non Cooperative Target Recognition (NCTR) as a supervised classification problem. After a brief presentation on the radar acquisition system of range profiles and the problem of recognition, we use a Fuzzy-Logic based algorithm to do this classification maximizing the recognition rate while controling the error rate. Unlike classical NCTR algorithms, this new algorithm allows to control error rate under a fixed value and maximize the recognition rate.
Keywords :
fuzzy logic; fuzzy set theory; pattern classification; radar target recognition; NCTR; classical NCTR algorithms; error rate control; fuzzy-logic based noncooperative target recognition; radar acquisition system; range profiles; supervised classification problem; Error analysis; Fuzzy logic; Radar cross section; Signal to noise ratio; Target recognition; Training; CLASSIFICATION; FUZZY LOGIC; HRR; KNN; NCTR; RADAR; RECOGNITION;
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
DOI :
10.1109/SITIS.2012.66
