Chew, Kim Mey and Rubita, Sudirman and How, Yu Hang and Yong, Ching Yee (2014) Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method. In: 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation, 03-05 December 2013, Kota Kinabalu, Malaysia.
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P15. Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method.pdf Download (410kB) |
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.
Item Type: | Proceeding (Paper) |
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Additional Information: | Information, Communication and Creative Technology |
Uncontrolled Keywords: | Computer Simulation Technology; 2D; microwave signal; image reconstruction. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Kim Mey |
Date Deposited: | 30 Aug 2024 02:41 |
Last Modified: | 30 Aug 2024 02:41 |
URI: | http://ir.unimas.my/id/eprint/45893 |
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