Title of article :
Millimeter-wave active imaging using neural networks for signal processing
Author/Authors :
K.، Shimizu, نويسنده , , K.، Watabe, نويسنده , , M.، Yoneyama, نويسنده , , K.، Mizuno, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
-1511
From page :
1512
To page :
0
Abstract :
A neural network has been successfully implemented in an active-mode millimeter-wave (60 GHz) imaging system with a Yagi-Uda antenna array in order to recognize objects and reconstruct images that appear distorted under coherent millimeter-wave illumination. With 10 * 10 sampling points and five teaching trials, a recognition rate of 98% has been obtained for ten dissimilar alphabetical letters used as objects. The success rate of reconstruction of distorted millimeter-wave images was 80% when five dissimilar letters were used for the reconstruction. The recognition rate after changing the spatial resolution of the optical system and sampling interval of the image is also discussed.
Keywords :
Hydrotalcite-like compound , CaCl2 solution , Magnesium-aluminum oxide , removal , Buffering action , simultaneous
Journal title :
IEEE Transactions on Microwave Theory and Techniques
Serial Year :
2003
Journal title :
IEEE Transactions on Microwave Theory and Techniques
Record number :
85842
Link To Document :
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