DocumentCode :
693772
Title :
Microwave Signal Spatial Domain Transformation Using Signal Processing and Image Reconstruction Method
Author :
Kim Mey Chew ; Sudirman, Rubita ; Yu Hang How ; Ching Yee Yong
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
98
Lastpage :
103
Abstract :
This study focused on the transformation of frequency domain signals from a planar scanning into a planar image. Computer Simulation Technology Microwave Studio is an efficient tool for 3D Electromagnetic simulation. It performed high accuracy simulation for 3D model simulation. This electromagnetic simulator is used to simulate a round phantom which has a created target inside the phantom. An antenna emitted microwave signal is being placed in front of the phantom to transmit a short pulse to the model. Scanning was performed along the fixed axis in front of the model. A mono-static antenna was used as the transmitter and receiver of the signals. The frequency domain data sets reflected and received by the antenna were imported into MATLAB software for image reconstruction. Subtraction method was used to reduce the reflection of antenna which was recognized as the unwanted noise in the signals. All time domain signals were smoothed to reduce the sharp peak and had a more continuous waveform, and arranged into matrix form. Image reconstruction function in MATLAB was used to transform the matrix envelope into a planar image. The phantom and target is identified by the different intensity of the colormap showed in the reconstructed image.
Keywords :
antennas; image colour analysis; image reconstruction; matrix algebra; microwave technology; 3D electromagnetic simulation; 3D model simulation; Computer Simulation Technology Microwave Studio; MATLAB software; antenna emitted microwave signal; colormap; frequency domain signal; image reconstruction; microwave signal spatial domain transformation; monostatic antenna; planar image; planar scanning; signal processing; subtraction method; Frequency-domain analysis; Image reconstruction; MATLAB; Phantoms; Reflection; Time-domain analysis; Tumors; 2D; Computer Simulation Technology; image reconstruction; microwave signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4799-3250-4
Type :
conf
DOI :
10.1109/AIMS.2013.23
Filename :
6959901
Link To Document :
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