Title of article
Natural frequency-based neural network approach to radar target recognition
Author/Authors
Kim، Hyo-Tae نويسنده , , Choi، In-Sik نويسنده , , Lee، Joon-Ho نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
-3190
From page
3191
To page
0
Abstract
Time domain response-based neural networks and frequency domain response-based neural networks have been proposed for radar target recognition. We propose a natural frequencybased neural network for radar target recognition. Our scheme takes advantage of an aspect angle independence of a natural frequency. It is shown from experimental results that a natural frequency based-neural network using the first natural frequency pair is superior to a time domain response-based neural network in the case of a single aspect angle and that a natural frequency based-neural network using the first natural frequency pair or the first two natural frequency pairs is superior to a time domain response-based neural network in the case of a multiple aspect angle.
Keywords
Cretan Mediterranean diet , homocysteine , Ischaemic heart disease , folate
Journal title
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Serial Year
2003
Journal title
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Record number
104798
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