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Millimeter-wave active imaging using neural networks for signal processing

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4 Author(s)
Watabe, K. ; Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan ; Shimizu, K. ; Yoneyama, M. ; Koji Mizuno

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.

Published in:

Microwave Theory and Techniques, IEEE Transactions on  (Volume:51 ,  Issue: 5 )

Date of Publication:

May 2003

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