DocumentCode :
2230851
Title :
Millimeter-wave imaging using neural networks for object recognition
Author :
Watabe, K. ; Shimizu, K. ; Mizuno, K. ; Yoneyama, M.
Author_Institution :
Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
Volume :
2
fYear :
1996
fDate :
17-21 June 1996
Firstpage :
1135
Abstract :
An active-mode mm-wave (60 GHz) imaging system with Yagi antenna has been developed. The optics for the system was designed with the ray tracing method to reduce aberration. A signal processing using a neural network has been successfully introduced to recognize objects distorted with coherent mm-wave illumination. With 10/spl times/10 sampling points the recognition rate of 98% has been obtained for the objects of 10 alphabetical letters and the 5 teaching trials.
Keywords :
Yagi antenna arrays; array signal processing; millimetre wave antenna arrays; millimetre wave imaging; neural nets; object recognition; ray tracing; 60 GHz; Yagi antenna; aberrations; active-mode millimeter-wave imaging; neural network; object recognition; ray tracing optics; signal processing; Lighting; Millimeter wave technology; Neural networks; Optical computing; Optical design; Optical distortion; Optical imaging; Optical signal processing; Ray tracing; Yagi-Uda antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Symposium Digest, 1996., IEEE MTT-S International
Conference_Location :
San Francisco, CA, USA
ISSN :
0149-645X
Print_ISBN :
0-7803-3246-6
Type :
conf
DOI :
10.1109/MWSYM.1996.511230
Filename :
511230
Link To Document :
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